{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8871c92e",
   "metadata": {},
   "source": [
    "# 1. 项目介绍"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d84f576",
   "metadata": {},
   "source": [
    "由于传统的运营手段多基于经验判断，或者仅采用较为简单的对比分析来指导业务。本次数据分析希望能够通过科学手段，分析出业务数据之间更为隐性的数据联系，在传统的运营方法之外，给与一些科学的指导。\n",
    "\n",
    "本项目主要基于用户2021年的消费数据，对其消费行为采取了包括个体及整体分析、消费的时间分析、客户细分分析、客户留存分析、复购率和回购率分析等在内的分析手段，并据此得出了一些指导性的意见。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "652018ac",
   "metadata": {},
   "source": [
    "# 2. 数据预处理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8025d9db",
   "metadata": {},
   "source": [
    "## 2.1 数据读取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3b772db3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "20f21b31",
   "metadata": {},
   "outputs": [],
   "source": [
    "order_data_original = pd.read_excel(\"order2021.xlsx\").copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f431c9d1",
   "metadata": {},
   "source": [
    "## 2.2 数据清洗"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e4432ee",
   "metadata": {},
   "source": [
    "### 2.2.1 数据整齐度评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "db86174d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>订单顺序编号</th>\n",
       "      <th>订单号</th>\n",
       "      <th>用户名</th>\n",
       "      <th>商品编号</th>\n",
       "      <th>订单金额</th>\n",
       "      <th>付款金额</th>\n",
       "      <th>渠道编号</th>\n",
       "      <th>平台类型</th>\n",
       "      <th>下单时间</th>\n",
       "      <th>付款时间</th>\n",
       "      <th>是否退款</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>51543</th>\n",
       "      <td>101421</td>\n",
       "      <td>sys-2021-286991668</td>\n",
       "      <td>user-106498</td>\n",
       "      <td>PR000628</td>\n",
       "      <td>530.89</td>\n",
       "      <td>530.89</td>\n",
       "      <td>渠道9</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-12-23 12:54:23</td>\n",
       "      <td>2021-12-23 12:54:37</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42620</th>\n",
       "      <td>24482</td>\n",
       "      <td>sys-2021-276925541</td>\n",
       "      <td>user-135516</td>\n",
       "      <td>PR000904</td>\n",
       "      <td>2005.49</td>\n",
       "      <td>1713.23</td>\n",
       "      <td>渠道9</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-05-01 19:38:23</td>\n",
       "      <td>2021-05-01 19:39:59</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3126</th>\n",
       "      <td>38831</td>\n",
       "      <td>sys-2021-313992813</td>\n",
       "      <td>user-117513</td>\n",
       "      <td>PR000010</td>\n",
       "      <td>244.12</td>\n",
       "      <td>244.12</td>\n",
       "      <td>渠道1</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-06-14 16:37:54</td>\n",
       "      <td>2021-06-14 16:38:09</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88379</th>\n",
       "      <td>45925</td>\n",
       "      <td>sys-2021-296932460</td>\n",
       "      <td>user-119986</td>\n",
       "      <td>PR000720</td>\n",
       "      <td>2277.90</td>\n",
       "      <td>2049.67</td>\n",
       "      <td>渠道14</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-07-04 21:17:00</td>\n",
       "      <td>2021-07-04 21:17:14</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23389</th>\n",
       "      <td>50273</td>\n",
       "      <td>sys-2021-225441543</td>\n",
       "      <td>user-116118</td>\n",
       "      <td>PR000548</td>\n",
       "      <td>345.63</td>\n",
       "      <td>345.63</td>\n",
       "      <td>渠道5</td>\n",
       "      <td>淘宝</td>\n",
       "      <td>2021-07-20 10:14:50</td>\n",
       "      <td>2021-07-20 10:15:23</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       订单顺序编号                 订单号          用户名      商品编号     订单金额     付款金额  \\\n",
       "51543  101421  sys-2021-286991668  user-106498  PR000628   530.89   530.89   \n",
       "42620   24482  sys-2021-276925541  user-135516  PR000904  2005.49  1713.23   \n",
       "3126    38831  sys-2021-313992813  user-117513  PR000010   244.12   244.12   \n",
       "88379   45925  sys-2021-296932460  user-119986  PR000720  2277.90  2049.67   \n",
       "23389   50273  sys-2021-225441543  user-116118  PR000548   345.63   345.63   \n",
       "\n",
       "       渠道编号   平台类型                下单时间                付款时间 是否退款  \n",
       "51543   渠道9    APP 2021-12-23 12:54:23 2021-12-23 12:54:37    否  \n",
       "42620   渠道9    APP 2021-05-01 19:38:23 2021-05-01 19:39:59    否  \n",
       "3126    渠道1  微信公众号 2021-06-14 16:37:54 2021-06-14 16:38:09    否  \n",
       "88379  渠道14  微信公众号 2021-07-04 21:17:00 2021-07-04 21:17:14    否  \n",
       "23389   渠道5     淘宝 2021-07-20 10:14:50 2021-07-20 10:15:23    否  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#随机查看5行数据的数据格式\n",
    "order_data_original.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cdde00a",
   "metadata": {},
   "source": [
    "从随机取出的5行数据来看，数据满足一列只有一个变量，一个单元格只有一个值的要求，整齐度良好"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b12cc0d",
   "metadata": {},
   "source": [
    "### 2.2.2 数据干净度评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "213c4ac8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 104557 entries, 0 to 104556\n",
      "Data columns (total 11 columns):\n",
      " #   Column  Non-Null Count   Dtype         \n",
      "---  ------  --------------   -----         \n",
      " 0   订单顺序编号  104557 non-null  int64         \n",
      " 1   订单号     104557 non-null  object        \n",
      " 2   用户名     104557 non-null  object        \n",
      " 3   商品编号    104557 non-null  object        \n",
      " 4   订单金额    104557 non-null  float64       \n",
      " 5   付款金额    104557 non-null  float64       \n",
      " 6   渠道编号    104549 non-null  object        \n",
      " 7   平台类型    104557 non-null  object        \n",
      " 8   下单时间    104557 non-null  datetime64[ns]\n",
      " 9   付款时间    104557 non-null  datetime64[ns]\n",
      " 10  是否退款    104557 non-null  object        \n",
      "dtypes: datetime64[ns](2), float64(2), int64(1), object(6)\n",
      "memory usage: 8.8+ MB\n"
     ]
    }
   ],
   "source": [
    "order_data_original.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c06b8237",
   "metadata": {},
   "source": [
    "可以看到数据的渠道编号存在一些缺失值；数据的订单顺序编号应该转换为string,渠道编号、平台类型、是否退款可以转化为Category类型，节约存储空间"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddd45d87",
   "metadata": {},
   "source": [
    "### 2.2.3 处理缺失数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d8a09187",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>订单顺序编号</th>\n",
       "      <th>订单号</th>\n",
       "      <th>用户名</th>\n",
       "      <th>商品编号</th>\n",
       "      <th>订单金额</th>\n",
       "      <th>付款金额</th>\n",
       "      <th>渠道编号</th>\n",
       "      <th>平台类型</th>\n",
       "      <th>下单时间</th>\n",
       "      <th>付款时间</th>\n",
       "      <th>是否退款</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>104549</th>\n",
       "      <td>11598</td>\n",
       "      <td>sys-2021-353765060</td>\n",
       "      <td>user-120690</td>\n",
       "      <td>PR000297</td>\n",
       "      <td>534.12</td>\n",
       "      <td>477.100000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>web网站</td>\n",
       "      <td>2021-03-02 10:11:38</td>\n",
       "      <td>2021-03-02 10:11:55</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104550</th>\n",
       "      <td>11639</td>\n",
       "      <td>sys-2021-339868263</td>\n",
       "      <td>user-264491</td>\n",
       "      <td>PR000714</td>\n",
       "      <td>206.33</td>\n",
       "      <td>206.330000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-03-02 14:02:58</td>\n",
       "      <td>2021-03-02 14:03:22</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104551</th>\n",
       "      <td>14234</td>\n",
       "      <td>sys-2021-313502796</td>\n",
       "      <td>user-180054</td>\n",
       "      <td>PR000423</td>\n",
       "      <td>669.09</td>\n",
       "      <td>669.090000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-03-16 15:13:31</td>\n",
       "      <td>2021-03-16 15:13:55</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104552</th>\n",
       "      <td>35716</td>\n",
       "      <td>sys-2021-300339928</td>\n",
       "      <td>user-270141</td>\n",
       "      <td>PR000984</td>\n",
       "      <td>328.83</td>\n",
       "      <td>295.470000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-06-06 11:03:46</td>\n",
       "      <td>2021-06-06 11:04:19</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104553</th>\n",
       "      <td>55444</td>\n",
       "      <td>sys-2021-286784634</td>\n",
       "      <td>user-183770</td>\n",
       "      <td>PR000987</td>\n",
       "      <td>488.07</td>\n",
       "      <td>476.810000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-08-04 18:53:34</td>\n",
       "      <td>2021-08-04 18:53:49</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104554</th>\n",
       "      <td>62378</td>\n",
       "      <td>sys-2021-288609013</td>\n",
       "      <td>user-213725</td>\n",
       "      <td>PR000845</td>\n",
       "      <td>1316.69</td>\n",
       "      <td>10496.526809</td>\n",
       "      <td>NaN</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-08-26 23:55:30</td>\n",
       "      <td>2021-08-26 23:56:57</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104555</th>\n",
       "      <td>77890</td>\n",
       "      <td>sys-2021-251942165</td>\n",
       "      <td>user-100835</td>\n",
       "      <td>PR000263</td>\n",
       "      <td>3613.63</td>\n",
       "      <td>3545.980000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-10-15 22:59:12</td>\n",
       "      <td>2021-10-15 22:59:28</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104556</th>\n",
       "      <td>86627</td>\n",
       "      <td>sys-2021-322891956</td>\n",
       "      <td>user-116711</td>\n",
       "      <td>PR000676</td>\n",
       "      <td>802.18</td>\n",
       "      <td>748.850000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-11-13 00:06:21</td>\n",
       "      <td>2021-11-13 00:06:39</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        订单顺序编号                 订单号          用户名      商品编号     订单金额  \\\n",
       "104549   11598  sys-2021-353765060  user-120690  PR000297   534.12   \n",
       "104550   11639  sys-2021-339868263  user-264491  PR000714   206.33   \n",
       "104551   14234  sys-2021-313502796  user-180054  PR000423   669.09   \n",
       "104552   35716  sys-2021-300339928  user-270141  PR000984   328.83   \n",
       "104553   55444  sys-2021-286784634  user-183770  PR000987   488.07   \n",
       "104554   62378  sys-2021-288609013  user-213725  PR000845  1316.69   \n",
       "104555   77890  sys-2021-251942165  user-100835  PR000263  3613.63   \n",
       "104556   86627  sys-2021-322891956  user-116711  PR000676   802.18   \n",
       "\n",
       "                付款金额 渠道编号   平台类型                下单时间                付款时间 是否退款  \n",
       "104549    477.100000  NaN  web网站 2021-03-02 10:11:38 2021-03-02 10:11:55    否  \n",
       "104550    206.330000  NaN  微信公众号 2021-03-02 14:02:58 2021-03-02 14:03:22    否  \n",
       "104551    669.090000  NaN  微信公众号 2021-03-16 15:13:31 2021-03-16 15:13:55    否  \n",
       "104552    295.470000  NaN  微信公众号 2021-06-06 11:03:46 2021-06-06 11:04:19    否  \n",
       "104553    476.810000  NaN    APP 2021-08-04 18:53:34 2021-08-04 18:53:49    否  \n",
       "104554  10496.526809  NaN  微信公众号 2021-08-26 23:55:30 2021-08-26 23:56:57    否  \n",
       "104555   3545.980000  NaN  微信公众号 2021-10-15 22:59:12 2021-10-15 22:59:28    否  \n",
       "104556    748.850000  NaN  微信公众号 2021-11-13 00:06:21 2021-11-13 00:06:39    否  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看渠道编号缺失的数据\n",
    "order_data_original[order_data_original[\"渠道编号\"].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2d779ff3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n",
      "RangeIndex: 104557 entries, 0 to 104556\n",
      "Series name: 渠道编号\n",
      "Non-Null Count   Dtype\n",
      "--------------   -----\n",
      "104557 non-null  bool \n",
      "dtypes: bool(1)\n",
      "memory usage: 102.2 KB\n"
     ]
    }
   ],
   "source": [
    "#汇总渠道编号缺失的数据数量\n",
    "order_data_original[\"渠道编号\"].isnull().info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04c82e31",
   "metadata": {},
   "source": [
    "可以发现渠道编号存在缺失的数据数量较少,仅有8条，可以考虑将其删除"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "08c078c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#删除渠道编号为null的数据\n",
    "order_data_original = order_data_original[~order_data_original[\"渠道编号\"].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e0c4054",
   "metadata": {},
   "source": [
    "### 2.2.4 转换数据类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "eec8dd91",
   "metadata": {},
   "outputs": [],
   "source": [
    "order_data_original[\"订单顺序编号\"] = order_data_original[\"订单顺序编号\"].astype(\"str\")\n",
    "order_data_original[\"渠道编号\"] = order_data_original[\"渠道编号\"].astype(\"category\")\n",
    "order_data_original[\"平台类型\"] = order_data_original[\"平台类型\"].astype(\"category\")\n",
    "order_data_original[\"是否退款\"] = order_data_original[\"是否退款\"].astype(\"category\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5ab26cb6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 104549 entries, 0 to 104548\n",
      "Data columns (total 11 columns):\n",
      " #   Column  Non-Null Count   Dtype         \n",
      "---  ------  --------------   -----         \n",
      " 0   订单顺序编号  104549 non-null  object        \n",
      " 1   订单号     104549 non-null  object        \n",
      " 2   用户名     104549 non-null  object        \n",
      " 3   商品编号    104549 non-null  object        \n",
      " 4   订单金额    104549 non-null  float64       \n",
      " 5   付款金额    104549 non-null  float64       \n",
      " 6   渠道编号    104549 non-null  category      \n",
      " 7   平台类型    104549 non-null  category      \n",
      " 8   下单时间    104549 non-null  datetime64[ns]\n",
      " 9   付款时间    104549 non-null  datetime64[ns]\n",
      " 10  是否退款    104549 non-null  category      \n",
      "dtypes: category(3), datetime64[ns](2), float64(2), object(4)\n",
      "memory usage: 7.5+ MB\n"
     ]
    }
   ],
   "source": [
    "order_data_original.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0ad5ea5",
   "metadata": {},
   "source": [
    "### 2.2.5 处理重复数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6ff70ec8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_original[\"订单顺序编号\"].duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0981626",
   "metadata": {},
   "source": [
    "原数据不存在订单号重复"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8876a946",
   "metadata": {},
   "source": [
    "### 2.2.6 处理无效或错误数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e0393bd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>订单金额</th>\n",
       "      <th>付款金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>104549.000000</td>\n",
       "      <td>104549.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1049.685715</td>\n",
       "      <td>1167.421759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1054.411015</td>\n",
       "      <td>2173.897395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.100000</td>\n",
       "      <td>-12.470000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>432.040000</td>\n",
       "      <td>383.660000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>679.330000</td>\n",
       "      <td>641.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1248.280000</td>\n",
       "      <td>1252.630000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>28465.250000</td>\n",
       "      <td>83270.053829</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                订单金额           付款金额\n",
       "count  104549.000000  104549.000000\n",
       "mean     1049.685715    1167.421759\n",
       "std      1054.411015    2173.897395\n",
       "min         6.100000     -12.470000\n",
       "25%       432.040000     383.660000\n",
       "50%       679.330000     641.230000\n",
       "75%      1248.280000    1252.630000\n",
       "max     28465.250000   83270.053829"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_original.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49dd0600",
   "metadata": {},
   "source": [
    "在付款金额中，出现了付款金额为负的情况，有必要查看这些异常数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "09a6c141",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>订单顺序编号</th>\n",
       "      <th>订单号</th>\n",
       "      <th>用户名</th>\n",
       "      <th>商品编号</th>\n",
       "      <th>订单金额</th>\n",
       "      <th>付款金额</th>\n",
       "      <th>渠道编号</th>\n",
       "      <th>平台类型</th>\n",
       "      <th>下单时间</th>\n",
       "      <th>付款时间</th>\n",
       "      <th>是否退款</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23860</th>\n",
       "      <td>66573</td>\n",
       "      <td>sys-2021-288096069</td>\n",
       "      <td>user-186966</td>\n",
       "      <td>PR000511</td>\n",
       "      <td>136.99</td>\n",
       "      <td>-12.34</td>\n",
       "      <td>渠道5</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-09-08 21:32:54</td>\n",
       "      <td>2021-09-08 21:33:10</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24753</th>\n",
       "      <td>96939</td>\n",
       "      <td>sys-2021-323229098</td>\n",
       "      <td>user-198083</td>\n",
       "      <td>PR000548</td>\n",
       "      <td>126.92</td>\n",
       "      <td>-11.13</td>\n",
       "      <td>渠道5</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-12-10 14:24:13</td>\n",
       "      <td>2021-12-10 14:24:26</td>\n",
       "      <td>是</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29600</th>\n",
       "      <td>31393</td>\n",
       "      <td>sys-2021-296608442</td>\n",
       "      <td>user-212991</td>\n",
       "      <td>PR000385</td>\n",
       "      <td>112.91</td>\n",
       "      <td>-10.17</td>\n",
       "      <td>渠道7</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-05-24 08:52:04</td>\n",
       "      <td>2021-05-24 08:52:23</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35486</th>\n",
       "      <td>999</td>\n",
       "      <td>sys-2021-324068352</td>\n",
       "      <td>user-112962</td>\n",
       "      <td>PR000602</td>\n",
       "      <td>364.08</td>\n",
       "      <td>-12.47</td>\n",
       "      <td>渠道8</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-01-04 10:47:05</td>\n",
       "      <td>2021-01-04 10:47:05</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62781</th>\n",
       "      <td>72266</td>\n",
       "      <td>sys-2021-316685479</td>\n",
       "      <td>user-189901</td>\n",
       "      <td>PR000554</td>\n",
       "      <td>2287.74</td>\n",
       "      <td>-10.98</td>\n",
       "      <td>渠道11</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-09-28 11:57:46</td>\n",
       "      <td>2021-09-28 11:57:46</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71784</th>\n",
       "      <td>18684</td>\n",
       "      <td>sys-2021-311194385</td>\n",
       "      <td>user-110299</td>\n",
       "      <td>PR000797</td>\n",
       "      <td>118.06</td>\n",
       "      <td>-10.08</td>\n",
       "      <td>渠道13</td>\n",
       "      <td>web网站</td>\n",
       "      <td>2021-04-06 11:20:43</td>\n",
       "      <td>2021-04-06 11:21:31</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      订单顺序编号                 订单号          用户名      商品编号     订单金额   付款金额  渠道编号  \\\n",
       "23860  66573  sys-2021-288096069  user-186966  PR000511   136.99 -12.34   渠道5   \n",
       "24753  96939  sys-2021-323229098  user-198083  PR000548   126.92 -11.13   渠道5   \n",
       "29600  31393  sys-2021-296608442  user-212991  PR000385   112.91 -10.17   渠道7   \n",
       "35486    999  sys-2021-324068352  user-112962  PR000602   364.08 -12.47   渠道8   \n",
       "62781  72266  sys-2021-316685479  user-189901  PR000554  2287.74 -10.98  渠道11   \n",
       "71784  18684  sys-2021-311194385  user-110299  PR000797   118.06 -10.08  渠道13   \n",
       "\n",
       "        平台类型                下单时间                付款时间 是否退款  \n",
       "23860    APP 2021-09-08 21:32:54 2021-09-08 21:33:10    否  \n",
       "24753    APP 2021-12-10 14:24:13 2021-12-10 14:24:26    是  \n",
       "29600    APP 2021-05-24 08:52:04 2021-05-24 08:52:23    否  \n",
       "35486  微信公众号 2021-01-04 10:47:05 2021-01-04 10:47:05    否  \n",
       "62781  微信公众号 2021-09-28 11:57:46 2021-09-28 11:57:46    否  \n",
       "71784  web网站 2021-04-06 11:20:43 2021-04-06 11:21:31    否  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_original[order_data_original[\"付款金额\"]<0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d2e6c65c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_original[order_data_original[\"付款金额\"]<0].iloc[:,1].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "893fd881",
   "metadata": {},
   "source": [
    "共存在6行异常值，可以将其剔除，对样本整体影响不大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "dc4ba440",
   "metadata": {},
   "outputs": [],
   "source": [
    "order_data_original = order_data_original[order_data_original[\"付款金额\"]>=0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7493fe2",
   "metadata": {},
   "source": [
    "### 2.2.7 处理不一致数据"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ffe5ac5",
   "metadata": {},
   "source": [
    "观察变量，看是否有多个不同数据指代一个值的情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3f8d25b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PR000895    354\n",
       "PR000762    350\n",
       "PR000103    335\n",
       "PR000587    303\n",
       "PR000385    302\n",
       "           ... \n",
       "PR000347     21\n",
       "PR000597     19\n",
       "PR000468     18\n",
       "PR000986     16\n",
       "PR001000     13\n",
       "Name: 商品编号, Length: 1001, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_original[\"商品编号\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5f331398",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "渠道13    16850\n",
       "渠道15    12606\n",
       "渠道9     12310\n",
       "渠道11     9493\n",
       "渠道7      8397\n",
       "渠道1      8350\n",
       "渠道14     6301\n",
       "渠道4      6173\n",
       "渠道10     4267\n",
       "渠道2      4223\n",
       "渠道8      4162\n",
       "渠道3      3169\n",
       "渠道12     3100\n",
       "渠道5      3059\n",
       "渠道6      2083\n",
       "Name: 渠道编号, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_original[\"渠道编号\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3fc5be52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "APP      52444\n",
       "微信公众号    42940\n",
       "web网站     7052\n",
       "淘宝        2017\n",
       "微信小商店       87\n",
       "wap网站        3\n",
       "Name: 平台类型, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_original[\"平台类型\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "41534e46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "否    90763\n",
       "是    13780\n",
       "Name: 是否退款, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_original[\"是否退款\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67ef0d4b",
   "metadata": {},
   "source": [
    "不存在多个数据指代同一个变量的情况"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be270935",
   "metadata": {},
   "source": [
    "## 2.2.8 创建新指标"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47f168bd",
   "metadata": {},
   "source": [
    "生成订单需要看付款时间，且我们并不关注具体的几时几分，精确到日就行，因此可以对付款时间进行转换；同时我们也想对交易月份进行探索，可以提取订单日期中的年月"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3b698b60",
   "metadata": {},
   "outputs": [],
   "source": [
    "order_data_original[\"订单日期\"] = pd.to_datetime(order_data_original[\"付款时间\"], format=\"%Y-%m-%d\").dt.date\n",
    "order_data_original[\"交易月份\"] = pd.to_datetime(order_data_original[\"付款时间\"], format=\"%Y-%m-%d\").astype(\"datetime64[M]\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05be7622",
   "metadata": {},
   "source": [
    "## 2.3 另存清洗完成的数据并读取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "06fd5365",
   "metadata": {},
   "outputs": [],
   "source": [
    "order_data_original.to_excel(\"order_data_cleaned.xlsx\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "55cf7a29",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 104543 entries, 0 to 104548\n",
      "Data columns (total 13 columns):\n",
      " #   Column  Non-Null Count   Dtype         \n",
      "---  ------  --------------   -----         \n",
      " 0   订单顺序编号  104543 non-null  object        \n",
      " 1   订单号     104543 non-null  object        \n",
      " 2   用户名     104543 non-null  object        \n",
      " 3   商品编号    104543 non-null  object        \n",
      " 4   订单金额    104543 non-null  float64       \n",
      " 5   付款金额    104543 non-null  float64       \n",
      " 6   渠道编号    104543 non-null  category      \n",
      " 7   平台类型    104543 non-null  category      \n",
      " 8   下单时间    104543 non-null  datetime64[ns]\n",
      " 9   付款时间    104543 non-null  datetime64[ns]\n",
      " 10  是否退款    104543 non-null  category      \n",
      " 11  订单日期    104543 non-null  object        \n",
      " 12  交易月份    104543 non-null  datetime64[ns]\n",
      "dtypes: category(3), datetime64[ns](3), float64(2), object(5)\n",
      "memory usage: 9.1+ MB\n"
     ]
    }
   ],
   "source": [
    "order_data_original.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "20bc68a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>订单顺序编号</th>\n",
       "      <th>订单号</th>\n",
       "      <th>用户名</th>\n",
       "      <th>商品编号</th>\n",
       "      <th>订单金额</th>\n",
       "      <th>付款金额</th>\n",
       "      <th>渠道编号</th>\n",
       "      <th>平台类型</th>\n",
       "      <th>下单时间</th>\n",
       "      <th>付款时间</th>\n",
       "      <th>是否退款</th>\n",
       "      <th>订单日期</th>\n",
       "      <th>交易月份</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8</td>\n",
       "      <td>sys-2021-306447069</td>\n",
       "      <td>user-104863</td>\n",
       "      <td>PR000499</td>\n",
       "      <td>499.41</td>\n",
       "      <td>480.42</td>\n",
       "      <td>渠道1</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-01-01 01:05:50</td>\n",
       "      <td>2021-01-01 01:06:17</td>\n",
       "      <td>否</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>sys-2021-417411381</td>\n",
       "      <td>user-181957</td>\n",
       "      <td>PR000483</td>\n",
       "      <td>279.53</td>\n",
       "      <td>279.53</td>\n",
       "      <td>渠道1</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-01-01 01:36:17</td>\n",
       "      <td>2021-01-01 01:36:56</td>\n",
       "      <td>否</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>61</td>\n",
       "      <td>sys-2021-313655292</td>\n",
       "      <td>user-282453</td>\n",
       "      <td>PR000154</td>\n",
       "      <td>1658.95</td>\n",
       "      <td>1653.91</td>\n",
       "      <td>渠道1</td>\n",
       "      <td>微信公众号</td>\n",
       "      <td>2021-01-01 12:01:04</td>\n",
       "      <td>2021-01-01 12:03:20</td>\n",
       "      <td>否</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>78</td>\n",
       "      <td>sys-2021-311884106</td>\n",
       "      <td>user-167776</td>\n",
       "      <td>PR000215</td>\n",
       "      <td>343.25</td>\n",
       "      <td>337.12</td>\n",
       "      <td>渠道1</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-01-01 12:47:02</td>\n",
       "      <td>2021-01-01 12:47:21</td>\n",
       "      <td>否</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>81</td>\n",
       "      <td>sys-2021-375273222</td>\n",
       "      <td>user-138024</td>\n",
       "      <td>PR000515</td>\n",
       "      <td>329.04</td>\n",
       "      <td>329.04</td>\n",
       "      <td>渠道1</td>\n",
       "      <td>APP</td>\n",
       "      <td>2021-01-01 12:50:23</td>\n",
       "      <td>2021-01-01 12:50:50</td>\n",
       "      <td>否</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   订单顺序编号                 订单号          用户名      商品编号     订单金额     付款金额 渠道编号  \\\n",
       "0       8  sys-2021-306447069  user-104863  PR000499   499.41   480.42  渠道1   \n",
       "1      11  sys-2021-417411381  user-181957  PR000483   279.53   279.53  渠道1   \n",
       "2      61  sys-2021-313655292  user-282453  PR000154  1658.95  1653.91  渠道1   \n",
       "3      78  sys-2021-311884106  user-167776  PR000215   343.25   337.12  渠道1   \n",
       "4      81  sys-2021-375273222  user-138024  PR000515   329.04   329.04  渠道1   \n",
       "\n",
       "    平台类型                下单时间                付款时间 是否退款       订单日期       交易月份  \n",
       "0  微信公众号 2021-01-01 01:05:50 2021-01-01 01:06:17    否 2021-01-01 2021-01-01  \n",
       "1    APP 2021-01-01 01:36:17 2021-01-01 01:36:56    否 2021-01-01 2021-01-01  \n",
       "2  微信公众号 2021-01-01 12:01:04 2021-01-01 12:03:20    否 2021-01-01 2021-01-01  \n",
       "3    APP 2021-01-01 12:47:02 2021-01-01 12:47:21    否 2021-01-01 2021-01-01  \n",
       "4    APP 2021-01-01 12:50:23 2021-01-01 12:50:50    否 2021-01-01 2021-01-01  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_data_cleaned = pd.read_excel(\"order_data_cleaned.xlsx\")\n",
    "order_data_cleaned.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "92185021",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 104543 entries, 0 to 104542\n",
      "Data columns (total 13 columns):\n",
      " #   Column  Non-Null Count   Dtype         \n",
      "---  ------  --------------   -----         \n",
      " 0   订单顺序编号  104543 non-null  int64         \n",
      " 1   订单号     104543 non-null  object        \n",
      " 2   用户名     104543 non-null  object        \n",
      " 3   商品编号    104543 non-null  object        \n",
      " 4   订单金额    104543 non-null  float64       \n",
      " 5   付款金额    104543 non-null  float64       \n",
      " 6   渠道编号    104543 non-null  object        \n",
      " 7   平台类型    104543 non-null  object        \n",
      " 8   下单时间    104543 non-null  datetime64[ns]\n",
      " 9   付款时间    104543 non-null  datetime64[ns]\n",
      " 10  是否退款    104543 non-null  object        \n",
      " 11  订单日期    104543 non-null  datetime64[ns]\n",
      " 12  交易月份    104543 non-null  datetime64[ns]\n",
      "dtypes: datetime64[ns](4), float64(2), int64(1), object(6)\n",
      "memory usage: 10.4+ MB\n"
     ]
    }
   ],
   "source": [
    "order_data_cleaned.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28439d18",
   "metadata": {},
   "source": [
    "# 2.3.1 拆分数据集"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eed19b59",
   "metadata": {},
   "source": [
    "拆分数据集，方便我们针对是否退款进行更精确的分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "03796391",
   "metadata": {},
   "outputs": [],
   "source": [
    "#未发生退款数据集\n",
    "order_data_cleaned_success = order_data_cleaned.query(\"是否退款 == '否'\")\n",
    "#发生退款数据集\n",
    "order_data_cleaned_refund = order_data_cleaned.query(\"是否退款 == '是'\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c7ee2ab",
   "metadata": {},
   "source": [
    "# 3. 数据可视化探索性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d1d023bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#准备参数设置\n",
    "plt.rcParams[\"font.family\"] = [\"Microsoft Yahei\"]\n",
    "plt.rcParams[\"figure.figsize\"] = (8,6)\n",
    "plt.rcParams[\"figure.autolayout\"] = True\n",
    "sns.set_palette(\"pastel\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "984b7955",
   "metadata": {},
   "source": [
    "## 3.1 总体分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0eba06dc",
   "metadata": {},
   "source": [
    "### 3.1.1 订单金额和付款金额分布情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "768772aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure,axes = plt.subplots(1,2)\n",
    "sns.histplot(data=order_data_cleaned,x=\"订单金额\",ax=axes[0],binwidth=1000)\n",
    "sns.histplot(data=order_data_cleaned,x=\"付款金额\",ax=axes[1],binwidth=1000)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51bbf791",
   "metadata": {},
   "source": [
    "订单金额和付款金额均呈现右偏态分布，订单金额和付款金额多小于3000,说明后续营销活动需要瞄准的客户群体，多集中于中低产人群，可以在后续的营销活动中将重点营销商品或者套装所属的价格段控制在这个范围内。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "215fc5c3",
   "metadata": {},
   "source": [
    "### 3.1.2 季节性分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "996557da",
   "metadata": {},
   "source": [
    "按月维度汇总，统计购买数量、消费金额、消费次数、消费人数，分析商品整体销售情况的季节性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d2500c65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "#每月销售件数分析\n",
    "plt.subplot(221)\n",
    "order_data_cleaned.groupby(\"交易月份\")[\"商品编号\"].count().plot()\n",
    "plt.xticks(rotation=45)\n",
    "plt.title(\"每月商品的销售件数汇总\")\n",
    "plt.tight_layout()\n",
    "\n",
    "#每月消费金额分析\n",
    "plt.subplot(222)\n",
    "order_data_cleaned.groupby(\"交易月份\")[\"付款金额\"].sum().plot()\n",
    "plt.xticks(rotation=45)\n",
    "plt.title(\"每月商品的消费金额汇总\")\n",
    "plt.tight_layout()\n",
    "\n",
    "#每月客户消费次数分析\n",
    "plt.subplot(223)\n",
    "order_data_cleaned.groupby(\"交易月份\")[\"用户名\"].count().plot()\n",
    "plt.xticks(rotation=45)\n",
    "plt.title(\"每月客户的消费次数汇总\")\n",
    "plt.tight_layout()\n",
    "\n",
    "#每月消费人数分析\n",
    "plt.subplot(224)\n",
    "order_data_cleaned.groupby(\"交易月份\")[\"用户名\"].apply(lambda x:len(x.drop_duplicates())).plot()\n",
    "plt.xticks(rotation=45)\n",
    "plt.title(\"每月客户的消费人数汇总\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d992f94",
   "metadata": {},
   "source": [
    "无论是从商品销售的角度，还是用户消费的角度来看，本店的消费情况均呈现出明显的淡旺季，1-3月是淡季，4-12月是旺季，尤其是5-7月和11-12月是销售的高峰，这段时间可以加大营销力度，可以将淡季的部分推广预算挪用到旺季，并且提醒仓储做好淡旺季的囤货准备。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0273dd9c",
   "metadata": {},
   "source": [
    "## 3.2 CRM分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1574343c",
   "metadata": {},
   "source": [
    "### 3.2.1 首次购买时间和最后购买时间分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e2aa2fc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "first_order_person = order_data_cleaned.groupby(by='用户名')['订单日期'].min().value_counts().sort_index()\n",
    "last_order_person = order_data_cleaned.groupby(by='用户名')['订单日期'].max().value_counts().sort_index()\n",
    "first_order_person.plot(ax=ax,label=\"首次购买日期\")\n",
    "last_order_person.plot(ax=ax,label=\"最后购买日期\")\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fe6033f",
   "metadata": {},
   "source": [
    "年初至年中的首次购买客户，即1-6月的新客户呈现不断上升的趋势，但7月后则一路回落；而最后一次购买的客户呈现不断增加的态势。可能是前半年运营采用了较多的拉新手段，后半年则专注于对老客户的运营，增加了老客户的留存，逐渐培养起了客户的忠诚度。\n",
    "\n",
    "并且可以看到首次购买客户的曲线存在两个峰值，一个是1月，一个是6月，可以在这两个月加大拉新力度，在其他月份则可以适当把预算分配给客户留存。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49343f9c",
   "metadata": {},
   "source": [
    "## 3.3 退货率分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d954f2d1",
   "metadata": {},
   "source": [
    "### 3.3.1 查看是否退款比例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4377d948",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure,axes = plt.subplots(1,2)\n",
    "refund_count = order_data_cleaned[\"是否退款\"].value_counts()\n",
    "refund_count_label = refund_count.index\n",
    "axes[0].pie(refund_count,labels=refund_count_label,autopct=\"%.1f%%\")\n",
    "axes[0].set_title(\"退款订单数占比\")\n",
    "\n",
    "refund_sum = order_data_cleaned.groupby(\"是否退款\")[\"付款金额\"].sum()\n",
    "refund_sum_label = refund_sum.index\n",
    "axes[1].pie(refund_sum,labels=refund_sum_label,autopct=\"%.1f%%\")\n",
    "axes[1].set_title(\"退款金额占比\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c5cdbdd",
   "metadata": {},
   "source": [
    "退款订单无论是数量还是金额都约占13.2%,退款率较为良好，说明运营状况较为健康"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c7590e3",
   "metadata": {},
   "source": [
    "### 3.3.2 退货时序分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5ca2e05d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3bNu2jR49epzgOxcRkdpAoVtERKQCffTRR/z9738HIDExkcsvv7xUy+xLL71EUVER//jHP474/GXLltGnTx8gMilar169Sq19vWvXLnr16sXEiROx2WycfvrpvP7664wePZqioiJM04zejuTDDz8kISGB5s2bU1hYiNPp5JRTTmHo0KHccMMNtGjRAohMsHbNNddwzTXXsG7dOsaPH8//+3//D5vNxuOPP37Cf6e33nqLMWPGsGTJEgYNGsTChQvp0KEDixYt4qOPPuKRRx5hwoQJ3HnnnbzwwgsYhsH48eOJi4tj9OjRJCcn88gjj0SPN378eM4+++zffM2NGzdy/vnnl9rWrVs3mjVrxosvvsiQIUNKPdaxY0euvfZaRowYgd/vj26Pi4vjxhtv5Lzzzjvhv4OIiNR8hmVZVmUXQkREpCYJh8P4/X7i4uIOe8yyLFasWEGHDh2O+nzLsggGg9jt9sO6lkNkTPmRjn0kh4Zwy7JwuVwYhsHixYtxuVzRyc7KoqSkBNM0iY+Pj24LhULY7fbf7Ip9JDNnzmT+/PlcddVVZGRkHPb4l19+GZ0N/tc+/fRTzj333OjfwOfz4XK5Dlu/u6xCoRAOh9ohREQkNhS6RURERERERGJEs5eLiIiIiIiIxIhCt4iIiIiIiEiMaABTOZmmyfbt20lMTCz3+DURERERERGpGSzLorCwkLS0tN+cV0Shu5y2b99+xAlfREREREREpPbZunUr6enpR31cobucEhMTgcgfNikpqZJLIyIiIiIiIpWhoKCAjIyMaEY8GoXucjrYpTwpKUmhW0REREREpJY71rBjTaQmIiIiIiIiEiMK3SIiIiIiIiIxotAtIiIiIiIiEiMK3SIiIiIiIlKlhEwLy7IquxgVQqFbREREREREqoywafHtGh/fbQxgmtU/eCt0i4iIiIiISJVgWRZzN/jJKTDZnB+iwK/QXSEsy+KJJ54gLS2N+Ph4hg4dSm5u7lH3LywsZPjw4dx0002ltu/du5crr7yShg0bkpiYSN++fVm6dOlhz586dSpnnnkmXq+XevXq8Z///KfC35OIiIiIiIiUnWVZLNwSYFN+GMOAPi3dpHirRGQ9IVXiHYwePZpx48YxceJEpkyZwurVq7n++usP26+oqIhRo0aRlZXFhAkTDuvjn5eXR6NGjfjkk0+YPHkypmkyePBgAoFAdJ+vv/6aIUOGcP7557NgwQI+/vhjWrZsGfP3KCIiIiIiIke3LCfIqp0hAHpmummS4qjkElUMw6rk0emmadKwYUMeeeQR7r77biASjM877zw2bNhAZmZmdN/ly5dzww038NBDDzFu3DhatmzJq6++etRjL1y4kB49erB48WJOOeUUQqEQLVu25MYbb+Sxxx47rvIWFBSQnJzMvn37SEpKOq5jiIiIiIiIyC/W5Qb5bmOksbRbUxftGzkruUTHVtZsWOkt3UuXLiUvL49BgwZFt/Xp0webzca8efNK7du+fXsWLlzIxRdfXKZjh8NhAOrWrQvA9OnTycnJ4c4776yg0ouIiIiIiMiJ2LonxPcHAneHxs5qEbjLo9JD94YNGwBKtWh7vV5SU1PJzs4uta9hGGU6pmVZrF69mgceeIDrrruO9PR0AObNm0fz5s357LPPaNGiBU2aNOHmm2+mqKjoqMfy+/0UFBSUuomIiIiIiMiJ21UYZtY6PxbQor6DLuk1K3BDFQjdRUVF2Gw23G53qe1xcXH4/f5yH++pp57C6XTStm1b4uLiGDNmTPSxnJwc8vPz+eijj3j77bcZN24cn332GXfcccdRj/fMM8+QnJwcvWVkZJS7TCIiIiIiIlLa3mKT6Wt8hC1okmznzOauMje0VieVHrrdbjemaRIKhUpt9/l8xMXFlft4t956K4sWLeKrr77C6/XSqVMntmzZAkAoFMLv9/Puu+9y5plncskll/Doo4/yzjvvRLui/9pDDz3Evn37oretW7eW/02KiIiIiIhIVJHfZOpqH4EwpCbY6NPSjc1W8wI3VIHQ3aRJE4BSXcn9fj+5ublkZWWV+3j169enY8eODBo0iP/+9794PB4mTJgAQIMGDWjUqBHx8fHR/Vu3bk0wGCQ/P/+Ix3O73SQlJZW6iYiIiIiIyPHxBS2mrvZRHLRI9hj0be3BYa+ZgRuqQOju0qULXq+XKVOmRLfNnDkTwzDo3bv3CR3bMAzsdnu0Ffuss85i06ZN7NixI7rP8uXLSUlJITU19YReS0RERERERH5bMGwxfY2PAp9FnMugfxsPbkfNDdwAlb7wmdfrZdiwYYwaNYqmTZuSkJDA8OHDueWWW0hJSWHQoEHcfPPNZZqxfOzYsbhcLnr06EEwGOSll15i27ZtXHfddQAMHDiQNm3acPXVV/P000+zbds2nnrqKe67775Yv00REREREZFazTQtZq3zk7ffxGWH/m08xLsrvR045io9dAM8/fTTlJSUcPnll2O327n22msZPXo0wWCQlStXsn379jIdJysri5EjRzJixAji4+Pp3r07c+bMoWPHjgA4HA4mTZrEsGHDOOecc0hOTmbYsGE88MADsXx7IiIiIiIitZplWXy30c+2fWHsNujX2kOKt+YHbgDDsiyrsgtRnZR1AXQRERERERGJ+GFLgBU7ghjAOa3dpKdUifbfE1LWbFg7Li2IiIiIiIhIpVieE2TFjiAAZ2W6akTgLg+FbhEREREREYmJ9XlBftwaAKBLhpMWqc5KLtHJp9AtIiIiIiIiFS57b4jvNkQCd/tGDjo0qn2BGxS6RUREREREpILlFoWZtc6PBWTVs9M1w4Vh1OylwY5GoVtEREREREQqzN4Sk2mrfYRMSEu2c1amu9YGblDoFhERERERkQqyP2AydbWPQBjqx9vo09KNzVZ7AzcodIuIiIiIiEgF8Icspq72URywSPIY9G3twWmv3YEbFLpFRERERETkBIXCFtPX+NhXYuF1GvRv48HjVOAGhW4RERERERE5AaZlMWu9n9wiE5cd+rfxkOBW1DxIfwkRERERERE5LpZl8f3GANl7w9gNOKe1hzpxipmH0l9DREREREREjsvP2UHW54UwgN4t3TRMtFd2kaochW4REREREREptxU7gizLCQJwRqaLjDqOSi5R1aTQLSIiIiIiIuWycXeIH7YEADgt3UmrVGcll6jqUugWERERERGRMtu+L8TcDX4A2jZ00LGxAvdvUegWERERERGRMskrCjNjrR/TguZ17XRv6sIwtDTYb1HoFhERERERkWMqKDGZtsZHyITGSTZ6ZrkVuMtAoVtERERERER+U3HAZMpqH/4Q1IuzcXYrD3abAndZKHSLiIiIiIjIUQVCFlNX+9gfsEh0G/Rt48FpV+AuK4VuERERqbZ2FobJKwpXdjFERGqskGkxfa2PvSUWXqdB/7YevE4F7vLQQmoiIiJSLW3fF2Lq6sjsuc3q2Ona1EWCW+0JIiIVxbQsZq/3s6vQxGmHfm3cJOp7ttwUukVERKTa8Ycs5m4IRO9v3hMme28JHRo76djYiUPdHkVETohlWczfFGDrnjA2A85p5aFunL2yi1Ut6TKFiIiIVDvzN/kpCVokeQzOa++hYaKNsAVLtgf5ZGkJm/JDWJZV2cUUEam2Fm8LsjY3BMDvWrhplKTAfbwUukVERKRa2bg7xKb8MAbQK8tNaoKdAW099GnpJt5lUBywmLXOzzerfOwpNiu7uCIi1c6qnUGWbA8CcEZzF83qqoP0iVDoFhERkWpjf8Bk/qbIOO5OaU7qJ0RaXgzDoFldB7/v5OXUJk7sBuwsNPliWQnzN/nxBdXqLSJSFpt2h1iwOTJ859QmTlo3cFZyiao/hW4RERGpFizL4rsNfgJhqBdv45S0w08EHXaDU5u4+P0pXprVtWMBq3eF+GRJMat2BjHV5VxE5Khy9oWZsyFyYbN1A8cRv2el/BS6RUREpFpYtTNEToGJ3RbpVm6zHX2ytAS3jT4tPQxo6yHFaxAIw4LNAb5YVsKOAi0xJiLya7v3h5mx1odpQdM6dno0c2EYmpSyIlSJ0G1ZFk888QRpaWnEx8czdOhQcnNzj7p/YWEhw4cP56abbiq1fe/evVx55ZU0bNiQxMRE+vbty9KlS496nH79+uFwaHyCiIhIVbevxOSnrZHujl0zXCR7y3YK0yjJzpCOXno0c+Gyw94Si29W+Zi5zkeRX+O9RUQACn0m01b7CJrQMNHG71q4sSlwV5hyhe7ly5fz5ptvHvGxHTt24PF4yMzM5Pe//z3fffddmY87evRoxo0bx8SJE5kyZQqrV6/m+uuvP2y/oqIiRo0aRVZWFhMmTDhsVtK8vDwaNWrEJ598wuTJkzFNk8GDBxMIBA471ldffcX06dPLXEYRERGpHKZpMWeDn7AFjZNstGlQvgvmNsOgbUMnF50SR5sGDgxgc36YT5eUsHhbgJCpLuciUnuVBEymrPbhC0GdOBvntPJg/42eRFJ+5Qrd27dvZ9iwYUcM3snJycydO5cXX3yRpk2bcuWVV5bpmKZpMnr0aB599FEuuOACzjrrLMaMGcNXX33Fxo0bS+27efNmvvrqKyZOnMiZZ5552LFatmzJCy+8wJlnnslZZ53F6NGj2bp1K6tWrSq1X0lJCXfddReXXnppOd69iIiIVIYl24Ps3m/iskPPLPdxd3f0OA1Ob+5mcMdflhhbvC3Ip0tK2KwlxkSkFgqELaau8VPkt0hwG/Rv7cblUOCuaOUK3eeeey6ffvopd9xxB++8806px7xeL127dmXw4ME8//zzbN++vUzHXLp0KXl5eQwaNCi6rU+fPthsNubNm1dq3/bt27Nw4UIuvvjiMh07HI6M2apbt26p7Y8//jgdOnRg8ODBZTqOiIiIVI68ojBLDyxbc3pzN3GuEx8ZVzcussRY7xZu4lwG+wMWM7XEmIjUMmHTYsaayPeexwH923jwVsB3rByu3AOa+/fvz3vvvcfll19Oq1at6N69++EHdTiw2cr2D7ZhwwYAMjMzo9u8Xi+pqalkZ2eX2resV7Yty2LNmjU88MADXHfddaSnp0cfmzVrFhMnTmTx4sV8++23xzyW3+/H7/dH7xcUFJSpDCIiInJigmGL2ev9WEDzunYy61XcPCyGYdC8noP0FDvLcoIszwlGlxhr3cBB53QXbrX2iEgNZVoWc9b72VFo4rBBvzYekjwK3LFyXH/Z888/n0ceeYRLLrmEvLy8wx43TbPMXbSKioqw2Wy43e5S2+Pi4kqF3bJ66qmncDqdtG3blri4OMaMGRN9LC8vj2uvvZbnn3+eZs2alel4zzzzDMnJydFbRkZGucskIiIi5ffT1gCFfou4A93CY8FhN+icHllirGmdX5YY+3hxMau1xJiI1ECWZbFwc4DNe8LYDDinlYd68fbKLlaNVqZLxn/5y18O22ZZFvv372fIkCGcf/75pR5bsWIF9evXL1MB3G43pmkSCoVKzSTu8/mIi4sr0zEOdeutt3LRRReRnZ3Nyy+/TKdOnZg/fz5paWlcdtll9OnThxtvvLHMx3vooYe49957o/cLCgoUvKu5sGlR4LPY5zMpKDHZ5zOxLOjRzI3HqVYNEZGqYNveEKt3hQA4K8sd81bnBLeNs1t5yCkIs3Czn70lFvM3B1iTG6JHUxcNk3RCKiI1w9Ltwej3a68sN42T9f0Wa2UK3b+e0OygCy+88IiP169fn48//rhMBWjSpAkA2dnZNG/eHIh06c7NzSUrK6tMx/j1a9evX5+OHTsyYMAAWrRowYQJExg4cCAzZszA5XLx4YcfApEx3+FwGI/Hw8iRIxk5cuRhx3O73Ye1wkv14A9Z7DsQqveVRP6/wGdS5Lc4UruFP+SjXxuPlkcQEalkvqDFdxsjK4+0begg7SSeEDY+sMTYml0hFmUH2FNsMnmVj+Z17XTNcBHvVvdLEam+1uwKsmhbZJ6MHs1cNK/AYTtydGX6K7/++uul7luWxZNPPsmoUaNKbV++fDkrV64s16zgXbp0wev1MmXKlOi62zNnzsQwDHr37l3m4xyJYRjY7XbC4TDdu3dn5cqVpR7/+OOPefTRR1m0aFGZW+alarEsi6KAdaDF+peQXVBi4gsd/XlOOyR7bCR7bSS6DZblBMkpMFm8Lchp6a6T9wZERKQUy7KYv9lPSdAiyWPQpRK+kw8uMda8roNF2wKs2RViU36YrXtL6NjYSYfGThxaTkdEqpnN+SHmb4pc0OyU5qRtQ2cll6j2OK5LG6Zp8sQTTxwWuj0eD9dccw2dOnWiTZs2ZTqW1+tl2LBhjBo1iqZNm5KQkMDw4cO55ZZbSElJYdCgQdx8881lmrF87NixuFwuevToQTAY5KWXXmLbtm1cd911xMXF0bZt21L7N27cGOCw7VL1hEyLggMt1pH/RkJ2QYlJ+DeG28W7DJI8NlK8BkleWyRoeww8TqPUxHyJHhuz1/tZuj1IaryN9Dq66iciUhk27g6zOT+MQaTbo8NeeeHW4zQ4o7mb1qkOFmwJsKswcnF2XW6Ibk1dNK1jP+7ly0RETqYdBeHoxJStUh10bqLAfTIdd7I40kRpLVq04KqrrmLMmDFMnDixzMd6+umnKSkp4fLLL8dut3PttdcyevRogsEgK1euLPPyY1lZWYwcOZIRI0YQHx9P9+7dmTNnDh07dixzWaRy+YLWge7g5oHu4JH7Rf6jJ2ubAUkeI9pyneSxkeyNhG1nGU/WMus5yC0Ks2pniDkb/AzuYCNRMziKiJxU+/0m8zdHJlE9pYmT+glVY5xh3Xg7A9t62JQf5setgegSY42SbHRv6qZOnH4vRKTqyi8O8+1aH6YFGXXsnN7cpQuGJ5lhlXWa8UOEw2FcLld0HexDrV69mtNOO421a9dGx2vXJAUFBSQnJ7Nv3z6SkpIquzjVkmlZ7Pdbv4y19pnR8db+3+gS7rJDsjcSrA+2WCd5bSS4jQoZhx02LSav9JG336RunI1B7T3qPigicpJYlsWU1T52FJjUj498B1fFOTaCYYvlOUGW5QQxLTCANg0dnNpES4yJSNVT6Df5eoWPkqBFg0Qb/dvo/LYilTUblrml+//+7/+i/29ZFpZlldp2KK/Xy5133slHH31UjiJLTRMMR7qCF/gOndAsct/8jUs9Ca6DXcGNXwK214bbUfa12o+H3WbQp5WbL5aVkF9ssmBzgLMyNYmeiMjJsGpniB0FJnZbpFt5VQzcAM4DS4y1SHXw45YAW/ZEeklt3B3itHQXLVMdVbbsIlK7lAQtpq6KBO4Ur0HfVgrclaXMofvX61o/9thjR933wgsvxOv1YlmWui7UcJZl4QtRagKzgxOa7Q/8dpfw5EO6gScfCNlJHluljt+Ld9no3cLD1NU+1uWGSE2w0SpVY15ERGJpb4nJT1sjk/t0zXCR5K363bUTDy4xti/Mwi2RJcbmbQqweleIHs1cNEysGl3jRaR2CoYtpq/xUei3iHcZ9G/jwaXeOJXmuLqX12a1tXu5aVkU+UsvwXVwQrPA4aMMotyOX2YJT/bYSPJGWq/jXRXTJTxWlm4P8HN2EJsB57X3UC9eJ08iIrEQNi2+WuEjv9gkLdlOv9buanfB3jQtVu8KsXhbIPqbqCXGRKSyhM1I4M4pMHE74Lx23mpxMbM6qvDu5RCZtbxt27asWbPmhAsoVdPBLuGHjrXe5zMpPFaXcLcRbbk+dEIzj7N6nTgd1LGxk9wik+y9YWau9TO4o1dj9UREYmDJ9iD5xSYuO5yVWT0n97HZDNo1cpJZz8HP2QHW5kaWGMs+ZIkxu7p0ishJYFkWczf4ySkwcdigX2uPAncVUK6W7nA4jNPpxDTN6La//OUvR93/10uK1QQ1oaXbsixKgla0G/ihS3AV/0aXcLuNSFfwX421TvIYNfJkwh+ymLS8hCK/RZNkO32rYeuLiEhVllsU5usVPiygdws3zevVjOUad+8Ps3BzgF1FkfOlBLdBtwwXGVpiTERiyLIsFm4JsGpnCMOAfq3dpCXXjO/VqiomLd1w+ERWTz75JLfeemupbRMnTjxsm5x8pmlR6LdKTWB2sOU6+Btdwj0ODukO/kvIjncZtepkwe0wOLulm69W+Ni2L8zSnCCnpLkqu1giIjVCMGwx58CasZn17DUmcAPUi7czsN2BJca2BCjyW8xY56dxko3uzdykqNVJRGJgWU6QVTsjSwH1zFTgrkrK3dL966XCvF4vJSUlpfY70raaoqq3dAfDFnM2+CkoMSnwWxztX9fgQJfwQ8ZapxwI2epGXdq63CDfbYxM8NO/jYe0ZI3vFimvQp/J1r1hPA6DrPo6CRCYt8nPml0h4lwGF3b01tgJfoJhi2U5QZYfssRY2wNLjNXU9ywiJ9/a3CDfHzhf7dbURftGmgj4ZIhZS/evHanlsza1hlY1Dhvk7AsTMn+5H53A7JAJzRJraJfwWGiZ6mRXkcm63BCz1/sY0sGriXFEymBvicmW/BCb94TZU/zLsKTioEnHxuo1Uptt2xtiza5fWmNqcvh02o3IUmL1HfywNcDWPWFW7gyxQUuMiUgF2bonxLwDgbtDY6cCdxWk5oYaxjAMzsx043YYJHsM4mpZl/BYOb2Zi/z9JvnFJjPX+RnYzqOLFiK/YlkWe4pNNu8JsyU/xD7fL11tDKBOnI38YpOftgZx2Q1aN9BJQW3kC1rR3kPtGjpoXEt6DyV6bJzTysP2fWEWbvazzxdZYmzNgSXGGmiJMRE5DjsLw8xaFxmq06K+gy7p+m2tisoUum+88UYMw8CyLCzL4v/+7/+AyAmWVD2ZNWhcXFVhtxn0aeVm0rIS8vab/LAlwOnN3ZVdLJFKZ1kWeftNtuSH2bInRKH/l98FmwGNk+w0rWsnI8WBx2nw09YAy3KCzNsUwGFTV/PaxrIs5m/yUxK0SPYYnJZR+3o8pCXbuaCjl9W7QizaFiC/2OTrlT4y69npkuEi3qWeVCJSNnuKTb5d4yNsQXqKnTOr6QoQtUGZznZatmwZ/f8nn3wyZoURqcoS3TZ6tXAzfY2f1btCpCbYFRikVjIti9yiX7qOH7rqgd2AtBQ7zeo4SE+xH9Zt+LR0J8FwZE3juRv8OOzQtI4+R7XFxt1hNu8JYxjQq4UbRy3tMXSkJcY27g6zdU8JndIiXUPVm0pEfkuR32Tqah+BMKQm2Ojdwq2hKlVYuSZSO5K4uDiKi4uPua2mqOoTqUnsLcoOsGR7EIcNzmvvpU6cWiWk5jNNix2FJlv2hNiyJ4wv+MtPh8MWucLetK6DJsl2nPbf/tGPrCEaYMPuEDYD+rbWBIW1QZHf5PNlJQTD0LmJk1Oa1L5W7qPZvT/Mgs0Bcg9dYqypi4wULTEmIofzBS2+XllCgc8i2WswqJ1XEyFXkpM2kZpIbXNKEye5RWFyCkxmrvNxfgcvrmOEDJHqKGxa5BSE2ZwfZuueEIFDlhp02SE9xUGzunbSku3lapUzDIOzslyETIste8LMWOujfxuPxrTWYJZl8d0GP8Ew1I+30TFNYw4PVS/ezqB2HjbuDvPj1gNLjK3VEmMicrhg2GL6Gh8FPos4l0H/Nh4F7mrghEN3KBTi2WefPWzb6NGjGTFihK7QSo1jMwx+18LDF8sjVxi/2+CnT0u36rrUCKGwxbZ9kfHZ2XvDBA8J2h4HZNRx0LSOnUZJ5Qvavxb5HLn5dq2f7fvCTFvjY0BbD/XiFbxropU7Q+woNHHYIt3K1QXycIYRmeMgo46dZduDLN8RJKcg0jugbQMtMSYikV5nM9f5ydtv4rJHlrLVPBDVwwl3L7/xxhuPfGDD4JVXXsFur1knUOpeLgflFoWZvNKHaUG3DBftG6vlRqqnQNhi294wm/NDbD9kyUEAr9OgaR07zeo6aJBoq/CwFApbTF3jY1ehidsBA9t51apXw+wtNvlieQmmBac3d9FGs9aXSaEvMmnn1r2RK18eB5yW7qKFlhgTqZUiQ7P8bNgdxm6DAW08pKqHWKUrazY84dBd2yh0y6FW7QyyYHMAAxjQ1kPDJH35SfXgD1lk74lMhLZ9XxjzkF+CeJdBs7qRydDqJ9hi3osjELaYssrH7v0mXqfBoPYeEt0K3jVB2LT4aoWP/GKTJsl2+rZWr6Dy2r4vxMLNgegSfHXjbFpiTKQW+mGLnxU7QhjAOa3dpKdolHBVELPQ/cMPP5CWlkZaWtpR9/n+++/p2rUrLlfNmyRFoVsOZVkWczb42bg7jNdpMLiDhzh185EqqiRosXVPiM35YXYUhjn02z/JY9C0TmSMdt242AftX/MFLb5ZVcLeEosEt8Ggdvos1QQ/ZwdYuj2Iyw4XdvLq3/Q4mabFql0hFm8LRId8ZNaz0zXDpb+pSC2wPCfIj1sDAPTMctGivnoMVRUxC93nnXceTZo04YorrqBTp040atSo1ONr166lS5cujB07Nrqed02i0C2/FgxbfLUiEhYaJNoY0MaDTUu9SBVRHDDZfGAN7V2FJod+4ad4DZrVddC0joMUr1HpLZDFAZPJK30U+iNrOA9s58Xj1GeputpVGBmCYwF9WrppVletMieqJGjxc3aAdbkhILJygJYYE6nZ1ucFmbshEri7ZDjp2LjmNWpWZzEN3bm5uTgcDpYuXUpGRgZXXnklt912GyUlJZx77rl07tyZDz744ITfRFWk0C1HUlBiMml5CUET2jdy0q2pvhCl8hT6TbbkR8Zo5+03Sz1WL94WHaOd5Kl6LWRFfpOvV/goDlrUjbMxoK1Hk0dVQ8GwxRfLSij0W2TVs9Orhaeyi1Sj5BWFWbjllyXGEg8sMZauJcZEapTsvSG+XePHAto3ctCtqbuyiyS/EtMlw+666y7+8Ic/EAwGmTVrFuPHj6dVq1Z4vV7OO+88XnnlleMuuEh1lOS1cVaWm5nr/KzYESQ1waZWHTmp9pVE1tDenB8mv7h00E5NsNGsjoOmde0kVPGx0gluG+e29TB5ZQn5xSbT1kSWEzvW2t9StfywJUChP7KcTY9mOkmsaPUTSi8xVui3+Hatn8ZJdro3c2kyQpEaILcozMx1kcCddWA4iVRfx0wFoVCIiy66iG7dutG9e3f2798ffcw0Tfbt20dOTg7x8fEYhoFpmths+rKX2qdZXQftG5ms2BHkuw1+6nhtJOnER2LEsiz2llhszg+xZU+IvSW/dFoygIaJNprWjSzvVd3GfCZ7bfRv4+GbVT5yi0xmrPXRt7VH3Weriey9IdYe6P7cM8utngoxcugSY0u3B1mxI0hOQVhLjInUAHtLTKat9hE2IS3ZzlmZmoSyujtm9/JAIMAbb7zBjz/+yDfffMPmzZvp1KkTlmWxY8cOTj/9dC6++GKuueYaduzYwaBBg+jatStvvfXWyXoPJ5W6l8tvMa3ILMw7C01SvAbntfeqhU4qjGVZ7N5vsnlPmC35IQr9v3x92wxolGSnWR07GXUcNWIsdG5hmCmrfYRMyKhjp09Lre9c1fmCFp8tK8EXtGjX0EF3tXKfNAUHlhjLPnSJsQwXLes7dLIuUo3s95t8tdJHccCifnyk95fOJauumI3pnjdvHi+++CIfffQRP/zwA+3bty/1+LZt2+jatSsPPfQQw4cPP77SV2EK3XIsxQGTSct9lAQtMuvZ6ZWlq5Ny/CzLYleRyZb8EFv2hNkfKB20myTbaVrXTkaKo0a2auXsCzNtjQ/TinSv66nPU5VlWRYz1/nZsidMstdgSAeveidUgm17QyzcEqDgwBJj9eJt9Gjq0nq+ItWAP2Tx9coS9pVYJHkMBmlC0SqvrNmwTH0O16xZQ/v27fn2228544wz2Lp1KzNmzOCnn34C4Pnnn+f7778HoG7duowaNYrOnTuf+LsQqYbiXDZ6t3BjABt3h1m9K1TZRZJqxrQscvaFmbfJz38XlTB5pY+VO0PsD1g4bNCsrp3eLdxc0SWOc1p7aFHfWSMDN0Dj5EgLtwFs2B1m/uYA5bxWLCfJht2RC0OGAb2y3ArclaRJioMLOnrpluHCaYPd+yOtZnPW+ykOmMc+gIhUilDYYvoaH/tKLLxOg/5tPArcNUiZZnpq3bo1f//73/m///s/3n77bTZs2MDMmTNp3rw5AM8++ywNGjSgR48edOjQgS+//JLbbrstluUWqdIaJtnpkuHix60BftgSoF68jdQEtTLI0YVNix0FYTbvCbN1Twj/IddqnHbISLHTtK6DtGQ7jloWZjLqOOjVAmav97NmVwin3aBLulMt3lVIkd9kwebIkjadmzipF6/vu8pktxm0b+wks76Dn7cGWJcXOnBRJMQpaU7aaYkxkSrFtCxmrfeTW2TiskP/Np4qP/GplE+ZQvf06dOJj49n/Pjx+Hw+/H4/M2fO5Pzzzwcik3n8+OOP/PGPf+TPf/5ztNVbpDZr38hBblGYLXsis08O6aAuQlJayLTYvi8yPnvr3jDB8C+PuR2RsNmsjp1GSfZaf4KcWc9BMGwxb1OA5TlBnHY4JU0zuVYFlmUxd4OfYDgyU36Hxs7KLpIc4HUanJXlpnUDBws2B8jbb/JTdpD1eSHObeupdpMsitRElmXx/cbIfAx2A85p7aFOnD6bNU2Z/kWfeeYZnnnmGcaMGcPf/vY38vLyWLlyJe+99x7jx48nFArhcDgYNGgQhmGwadOmchXCsiyeeOIJ0tLSiI+PZ+jQoeTm5h51/8LCQoYPH85NN91UavvevXu58soradiwIYmJifTt25elS5eW2mfChAm0bt0aj8dD27ZtmThxYrnKKlJWhhE52UnyGBQHLGav92GqW2ytFwxbbNwdYuY6Hx/8VMyMtX427I4Ebq/ToE0DB+e29XDZaXGclemmSYqj1gfug1o3cNLtwJIpi7KDrNwRrOQSCcDKHSF2Fpo4bJHZyjXZXdVTP8HOee099Mxy4XUa7PNZTFntwxfUb5JIZfv5wIUwA+jd0k1Dzb9QI5UpdE+ZMoWvv/6am2++mW+++YaGDRvSvHlzLrvsMj7//HPy8/P53//+xz/+8Q/+9a9/8cADDxAOh4994ANGjx7NuHHjmDhxIlOmTGH16tVcf/31h+1XVFTEqFGjyMrKYsKECYeN68vLy6NRo0Z88sknTJ48GdM0GTx4MIFApMvb0qVLeemll/jb3/7GggULuPHGGxk2bBgffvhhmcsqUh4uu0Gflh4cNsgpMFmyTSGhNvKHLNbnBZm+xsf7PxUze72fzflhQibEuwzaNXQwqJ2HSzt7Ob25m8ZJdgWXo2jf2MkpaZGW1IVbAqzL1WeqMu0pNvkpO/Ib262piySPWmeqKsMwaFHfyXntPcQ5DfaVRMaPBsMK3iKVZcWOIMtyIr9jZ2S6yKhTpk7IUg2Vafby1atXc9lll+Fyufjwww/p3bs3f//735k3bx7jxo2jcePGNG/enLS0NP73v/8xYMAA7r777mj3899imiYNGzbkkUce4e677wbg66+/5rzzzmPDhg1kZmZG912+fDk33HADDz30EOPGjaNly5a8+uqrRz32woUL6dGjB4sXL+aUU04hPz8ft9tNfHx8dJ8BAwZQr1493n333WOWFTR7uRyfDXkh5mzwA9C3tZv0FH2p1nS+oMWWPZGJpXIKwhz6TZvoNmh2YA3tevE2jU0uJ8uy+HFrgBU7Ii0Dv2vppnldfaZOtrBp8eUKH3uKTZok2+nbWjPLVxd7S0y+XlFCIAyNkmz0a+1RjxqRk+zQc8PT0p100pCpaqms2bBMZymZmZk89dRTXHjhhdH7l19+Oc8880y0Ffn7779n9+7dAAwdOpTJkyeXKXQvXbqUvLw8Bg0aFN3Wp08fbDYb8+bNKxW627dvz8KFCwEYN27cMY99sLW9bt26pf57KI/HU65WeZHjkVU/Mr579a4Qc9b7GdzRRqImyKhxigMmWw6sob2z0OTQK5opXoOmdRw0q+sgxWsonJwAwzDomuEiEIZ1uZHPlMOGLmadZIu3BdlTbOJ2wFmZLtXpaiTFa6N/Gw/frPKxo8Bk9no/vVtqaIDIybJtb4i5GyOBu21DBx01F0aNV6YzFJfLFQ3cANOmTcPhcLBw4UJcLhf33nsvAPXq1QPghhtuwO12l6kAGzZsACgVrr1eL6mpqWRnZ5fat6w/6JZlsWbNGh544AGuu+460tPTj7jfpk2bmDp1KmPGjDnqsfx+P36/P3q/oKCgTGUQ+bVuTV3s3m+St99k5lo/57VXy0JNsTk/xIodQXKLSi/HUzfORrO6dprWcZDs1UWWimQYBmc0dxEKW2zKDzNzrZ9+bQwaJWks3MmwqzDM8oNdIpu78WpCrmqnfoKdc1p5mLbGx5Y9YeZtCnBmc108EYm1bXtDzFjrx7KgeV073Zvqc1cbHNev5MFw7fF4AHjyySdLPe71erHZynbooqIibDbbYSE9Li6uVNgtq6eeegqn00nbtm2Ji4s7aqBes2YNAwYMoEuXLvzf//3fUY/3zDPPkJycHL1lZGSUu0wiEFnCpU9LN24H5BebzD+wvI5UX4FQZIK8mev80cCdmmCja4aLoad6GdLRS6c0lwJ3jNgMg15ZbtJT7IQtmL7GR16Rei7FWjBsMWeDHwvIqhfpvSHVU+NkO71buDGI9Br5cWvwsPlyRKTiZO8J8e1aP2EL0lPs9MzSsJza4rjOBH/9hXwiX9ButxvTNAmFQqW2+3w+4uLiyn28W2+9lUWLFvHVV1/h9Xrp1KkTW7ZsKbXPxx9/TI8ePWjbti1fffUVLtfRx1A89NBD7Nu3L3rbunVrucskclC828bvWkQuVq3LDbFWk0BVWzkFYT5bVsLG3WEMoGNjJ5d29nJeey8dGjs1fOAksR24mNUoyUbIhKmrI2OMJXZ+2BKgyG8R7zLo0UxjEKu7pnUdnJEZ+Xc8dFInEalYW/aEmLHOj2lB0zp2+rR0q8djLXJcZ4W/viJzIldomjRpAlCqK7nf7yc3N5esrKxyH69+/fp07NiRQYMG8d///hePx8OECROij7/44otceeWVjBo1ik8//ZTExMTfPJ7b7SYpKanUTeREpCXb6ZweGbuzYFOA3fvVMledhEyLhZv9TFnlozhgkeg2GNTeQ5cMl9a8rSR2m8E5rTzUj7cRCMOU1T4KfAresbB1T4i1uZGL5D2z3LgcOmGsCVqlOul6YDm+n7ODrNml4C1SkTblh5h5IHA3rxvpYaLAXbuUqU9Y9+7dSwXrkpISevTocdT7By1YsOCYx+7SpQter5cpU6ZE192eOXMmhmHQu3fvshTvqAzDwG63RydKW7x4Mffccw8ffvghF1100QkdW+REdGrsJLfQZNu+MDPX+RncwYtbJ69V3u79Yeas97PPF+nd07qBg64ZLpx2/dtVNqfdoN+BiaH2FJtMWeVjYDsPCepxUGF8QYvvD0z8076RQ+Pna5gOjZ0EQhZLc4LM2xTAZTdoXk9DB0RO1Ia8EHOjQ3LsnJWlSQtrozJ9mz7++OPR/7csi8svv5zHHnvsiPfLy+v1MmzYMEaNGkXTpk1JSEhg+PDh3HLLLaSkpDBo0CBuvvlmLr744mMea+zYsbhcLnr06EEwGOSll15i27ZtXHfddQC8//77ZGRk0LFjR9atW1fquS1atNCYCjlpDMOgVws3k5aVUOS3mLvBzzmtNK6nqjIti2U5QRZvC2JZ4HUanJXpoolmy65S3A6D/m08TF5ZQoHPYsoqH4Pae/E69bk6UZZl8f0mP75QZCb+09LVrbwm6pzuxB+yWJMbWcrIaUffcyInYH1ukLkbI3P4tKjv4MxMlwJ3LVWmb9LBgweXfpLDUWrbr++X19NPP01JSQmXX345druda6+9ltGjRxMMBlm5ciXbt28v03GysrIYOXIkI0aMID4+nu7duzNnzhw6duwIwI4dO9i4cSOtWrU67LmFhYUkJCQc93sQKS+3w6BPKzdfrfCRvTfMspyg1misggp8JnPW+8nbH+mu3KyOndObu/EoyFVJXqfBuW08fL3SR6HfYsqqEga2U0+SE7U+L8TWPWFsBvTKUrfImsowDHo0dxE4uCrAOj/92xg0SFSvBpHyWrMr0msEoFWqgzO0OkCtZlhlnAXtpptu4ueff6ZXr17861//orCwMPpYUlJSrVlKq6wLoIuU1drcIN9vDGAA/dp4SEvWyU1VYFkWa3ND/LAlQMgEpx1Ob+Yms55dP5rVQIHPZPJKHyVBi/rxNs5t69EwgONU5Df5fGkJQRNOS3fq4mAtEDYtvl3rZ/u+MC47DGznpU6chmqIlNWqnUEWHFilpk0DBz2aKXDXVGXNhmX+Bh0xYgTXXXcd69atIxwO07p1a95+++0KKaxIbdYq1UnL+g4sYPZ6H/sDmgCqshUHTKav8TNvUyRwN0qycWFHL1n1HfrRrCaSPDb6t/HgskPefpNv1/gImVoKqbxMKzL8JWhGlsPr0NhZ2UWSk+DgEpepCZHJCaeu9lGoyQlFymTFjl8Cd/tGCtwSUeaW7kPt3r2biRMn8umnn/Lll1/SvHnzUi3fNZlauiUWQqbF1yt85Beb1I+3MbCdR903K8nm/BDzNvnxh8BmQJcMF+0aKmxXV3lFYaas8hE0oUmynbNbqWt0eSzPCfLj1gAOG1zQ0UuiR62dtYk/ZDF5ZQl7SywS3AaD2nm0SoPIb1iWE+CnrZHZ/zs2dnJaulPnDzVcWbNhmUJ3//79sdvtDBkyhMGDBx/XUl41hUK3xEqhz2TS8hICYWjb0EGPZu7KLlKtEghZLNgcYMPuyHJIdeNs9GrhJsWrE8zqbmdBmKmrfYQtaFbXzu9aaObYsthTHPlOMi04s7mLVg3Uyl0bFQdMvl7po8hvkeI1NEeCyFEs2RZg0bZI4D4lzcmpTRS4a4MKDd3z5s3j008/5cMPP2Tjxo3Ex8f/5v6WZWEYBvv27atxlU2hW2Ipe0+I6WsjS/L8roWbTC3XclLsKAgzd4Of/QELA+iY5uSUNKdaRGuQbXtDfLs2skZqywMzyNa036eKFDYtvlzuY0+JSXqKXasr1HKFvkjwLglapCZEhm5ojgSRCMuyWLQtyNLtkcDdOd3JKZr7otao0NB9qBkzZjB27Fg+++wzTjvtNF566SUaNmx4xH2bNWtWvlJXAwrdEms/ZwdYuj2Iwwbnt/eSoslrYiZsWvy0NcDKnZHW7US3Qc8st2bqraE254eYtS6yVmq7hg66NVXwPpoftwZYnhPE7YALO8Vp2TVhT7HJ5JWR3liNk+z0ba2hGiKWZfFTdpDlOZHA3SXDScfGCty1ScxC90ErVqzgvvvuY926dcyePZsGDRocd2GrE4VuiTXTspi62seOApMkj8H5Hby41KJQ4Xbvj7Ru7y2JfAW2TnXQtalLrTc13KFrpp6S5qSz1ps+zM7CMJNX+gA4u5WbpnXU40Yicg/MkRAyNVRDxLIsftjyy4X77k1dtGukYTi1TYXPXn7Q66+/zpw5c2jTpg2TJk1ixYoVtSZwi5wMNsOgdwsPcS6DAp/F9xv8HOe1MTkC07JYuj3AVyt87C2x8DgN+rZ2c0amW4G7FmiR6qRHs0jQXrL9l9YJiQiGI7OVA7So71DgllJSE+yc3cqDzYDN+WHmbwro90lqJcuKzANzMHCf3kyBW35bmUJ3SUkJM2fOZPPmzUyaNIlrrrmGfv36AWC3H94N87XXXuPOO++s2JKK1CIeZ2S5FpsBm/eEo1/qcmIKD6zd/HN2ENOCpnXsXNjRS3qKgkVt0rZhZEZZiHSjXrNLwfughVsCFPkt4l0G3ZupF4AcLi050sJtAGtzQ/ycrc+P1C6WZTFvU4DVuyLnZmdmumjTUIFbfluZzjS/++47rrrqKrZs2cJ///tf9u/fT/369dm7dy8DBgwote8NN9zABx98wKWXXhqTAovUFqkJdro1dbFgc4AftwSoF2+jocYaHxfLslibG+KHLZF1t5126NHMRVY9LQVWW3VKcxEMw7KcIPM2BXDYDLLq1+6LL1v2hFiXGzmJ7JXl1rAWOapmdR2c3jwSPJblBHE7DK3hLrWCaVl8vzHA+rwQBnBWlosW9VX35djKdIbRr18/OnfuzGuvvcZtt91GfHw8iYmJ+P1+li1bxueffx7d1zRNfv7551LbROT4tGngILcozMbdYWat8zOkgwev1kgtl5KAyfebAmTvDQPQMNFGzyw3CW79HWu709KdBMMWq3eFmLvBj8NOre1OXRK0mLcx0q28fSMnDZN0gU9+W+sGTgKhyCRSP24N4HJAq1SFD6m5TCsy/Gbj7jAG0DPLXesv1krZlfms8+GHH+Yf//jHYWN37HY7/fr1i96+//57LrvsMhITEyu8sCK1jWEYnNHcTYrXoCRoMWu9H1Pj58psc36Iz5aVkL03jM2AbhkuBrT1KHALEPl8HezxYAGz1vnZvi9c2cU66SwrErh9IUjxGtGu9yLH0jHNFW3hnrcxwOZ8DYWSmsk0LWavPxC4DejdUoFbyqdMtWX69OkA+Hw+Ro8eTWJiInv37iU5Ofmwfd9++21ef/31ii2lSC3mtBv0aelh0vISdhaa/Lw1SNemGmv5WwIhi4VbIt2/AOrE2eiV5aaOll+TXzEMg7OyXIRMiy17wsxY66N/G0+tWjZuXV6IrQcuTPVqoWWgpHy6pDvxhyzW5YaYvd6P026Qllx7Pj9S84XNSKPH1j2R78neLbWqg5RfmWrMAw88AEBCQgKjRo2iR48evPTSS3g8HgCWL1/O3LlzKSwsBKBnz54xKq5I7ZTsjXSJnrnOz/IdQeon2GhWV1/4R7KjILIU2P6AhQF0aOzk1CZOBQk5Kpth8LsWbr5dG2npnrbGx4C2HurF1/zgUOg3Wbg5soRa53QndeNq/nuWihXpkeUiGLLYfODC1bltPaQmqC5J9Rc2LWas9bNtXyRwn93KrclX5biUqdYsXLgQgO3bt9O0aVPee+890tLSoo/v2LGDb7/9li1btrBv3z4WL17MqaeeGpsSi9RSzeo6aN8ozIodIb7b4KeO10aSVy23B4VNi5+zA6zYEWndTnAb9Mpy16oWSzl+dpvB2S3dTF3jY1ehydTVPga285JSgz9jpmUxd72fkAkNEm2013I3cpxshkGvFm4Ca3zkFJhMW+1jUDsvKepdJNVYyLT4do2fnIIwdgPOae0mLVmBW45Pub4N09LSOO2003j//fej2wzDoF+/frz77rvMnTuXhx9+mOuvv77CCyoi0CXdRYMEG0ETZqzzEQxrfDdA/v4wk5aXRAN3q1QHF3T0KnBLuTjsBn1beagXZ8MfgqmrfBT6zcouVsys2BFkV5GJwxaZEMimmfzlBNhtBme38lA/3kYgDFNW+yiqwZ8fqdmCYYvpa3zkFIRx2KBvG48Ct5yQMoXu22+/nY0bNwJw33330aNHj6Pue9ddd7F//37mzJlTMSUUkSibzaB3Szcep8HeEov5m/yHTW5Ym5iWxdLtAb5c4WNviYXHAee0cnNmphunljuS4+ByGPRr4yHZa1ActJiyykdxoOYFh/ziMIsOrK/cvZmLRE0uKBXAaY98fg5O/jlllY+SGvj5kZotGLaYtsbHjoLIRcl+bTw01ooOcoKO+SsbCoVISUmhW7duPPnkk+zYsYMff/yRcePGsWjRIgAKCwspKCigoKCAYDDI4MGD+eqrr2JddpFaKc5lo08LNwawYXeYNbm1c7bYQp/J5JU+fs4OYlqQUcfOhZ3iyNDkJnKCPE6Dc9t4SHAbFPkjwcEXrDkXt8KmxZz1fkwL0lPstNQMvFKB3A6D/m08JLgMCv0WU9f4CYRqzudHarZAyGLq6sgwI6cdzm3joaF6zUkFOGbodjgc/PWvf+V///sfY8eO5bnnnmPTpk1s3LiRgoICioqKSElJISUlhTp16vD4449zxhlnRAO5iFS8hkl2umREZjBfuDlAXlHtWebIsizW7gry+bIScotMnDY4K9PF2Qd6AIhUhDiXjXPbeohzGuzzRU7CakpwWJQdjPYMOTPTjaFu5VLB4lw2+rf14HEa7Ck2mbbGR0jDoaSK84cspqz2kVtk4joQuFMVuKWClLk/2dlnn820adMoLi6mZcuWPP/88/Tu3RvTNAmHw9H/Pv3002RmZrJu3bpYlluk1mvfyEHTOnZMC2as89eolrijKQlafLvWz/ebAoRMaJho44JOXlqmOhUcpMIluiPB2+OA/APBobrPo7CzIMzyHZFu5WdkuvHqQpXESJLHxrltPDjtkFtkMnOdn7BZvT8/UnP5DgyH2L3fxO2Ac9t6qK8Z+KUClWsQ16mnnsr//vc/8vPzo9ssy8Ln80Xvm6ZJu3bt+NOf/lRxpRSRwxiGwVmZbhLdBsUBi9nr/Zg1eHz3lj0hPl9aTPaB9YS7Zrg4t62HBI1FlRhK9trof0hwmLG2+gaHQNhizgY/AC3rO7TOrMRcnTgb/Vp7sNtg277Ico61eR4SqZpKghbfrCohv9jE44ABbb21YslIObkMq4zffqZ55Ikwhg8fTlpaGg899BAvv/wyr7/+OlOnTiUpKQmfz4fTWbOWICkoKCA5OZl9+/aRlJRU2cURYU+xyZcrSgibcEqak87prsouUoUKhC0Wbg6wPi8ydr2O10avFm7qaCkaOYlyC8NMWe0jZELTOnZ6t6x+s33P3eBnfV6IBLfBBR29mmxQTppte0NMX+vHsqBNAwc9mrnUO0mqhJKAyTerfewrsfA6Dc5t66nRS0VKxStrNixzrXI4HDidzujN4XDgcrno1KkT//znP1m6dCn33nsvt9xyC06nE8uysNlUaUVirU6cjTObuwFYsj1I9t6aM7HazoIwXywtiQbuDo2dnN/Bo8AtJ11qop1zWnmwGbBlT5jvNgSqVYvdlj2h6OeoZ5Zm95eTq0mKg15Zkd+p1btCLNoWrOQSiUBxwGTyqkjgjnMaDFTglhgqc82qV68ewWAQv99PWloawWCQOnXqcPPNN9O9e3d69+7N9ddfzw033IDNZsMwDIVukZMkq76D1g0iXUXnrPdX+7VRw6bFj1sCTF7loyhgkeAyGNjOQ9cMF3abwoJUjsbJdvq0PLhyQIgFm6tH8C4JWny/MdKtvENjp2bilUqRWc/B6c0jPbGWbg+yYoeCt1SeIn9kBZQCn0X8gXOMJAVuiaEy166DIdrhcGAYBna7Pdo1qF27drRs2ZKxY8dGDnogbKvrkMjJ072pi/rxNgJhmFmNx53uKTaZtLwkOtlTy1QHF3TyKihIlZBRx0HPQ1rsfsoOVungbVmRwO0PRYZmdG5Ss4Z8SfXSpoGT09IjdfCHLQHW5yp4y8lX6Df5ZqWPQr9FgjsSuBM9CtwSW2WuYUc6qbAsi59++olXX32V2267jbZt2+L3+9XCLVIJ7DaD3i3duB2wu9hkweZAZRepXEzLYllOgEnLS6LLGZ3dys1ZmeoKK1VLVn0HZxxosVueE2RZTtUNDutyQ9HJB3u1cKuniFS6jo2dtG8U6Zn13cYAW/bUnCFRUvUV+CIt3EUBi0R3pEu5JmSVk6FcLd1HsmPHDiZOnMiNN95IcnIyr7zySuTACt4iJ12C28bvWkRa4dbmhlhXTVoRCv0m36zy8dPWIKYF6Sl2LugUp9mVpcpq3cBJ14xI8P45O8jKKthVttBnsnBL5OLbaekuzYUgVYJhGHTNcNGivgMLmLXOz46CcGUXS2qBfSWRwF0csEj2RFq44xW45SQpc00LBALMnj2bmTNn4vf7mTVrFsFgkISEBFJTU5k1axZ9+vTh2WefpaSkpFyzlluWxRNPPEFaWhrx8fEMHTqU3Nzco+5fWFjI8OHDuemmm0pt37t3L1deeSUNGzYkMTGRvn37snTp0lL7bN26lSFDhhAfH09aWhrPPfdcmcspUh2kJTuiXUjnbwqQv7/qnsxYlsXa3CCfLy1hV6GJwwZnZro4p5XWD5aqr0NjJ6ekRT5rC7cEqtRFLtOKLA92cD37do10AUuqDsMwODPTRUYdO6YF09f4yCuqur9VUv3tLY5MmlYStEjxGgxo5yXOpcAtJ0+Zlww744wzjjlG2+fzsX79ej755BOGDh3Kvn37ylSIZ599lr///e+88cYb1KtXjz/96U80b96cL7/8stR+RUVFPPvss4wfP56CggKuu+46Xn311ejj69at48UXX+SKK67AsiwefvhhNmzYwLp163C5XITDYU477TSaNGnCX//6V3788UduvfVW3n33XS6//PIylVVLhkl1YFkW09f42bYvTILbYEgHLy5H1QqxJUGLeRv9bN0bOdFqkGCjZws3ibrqLNWIZVn8sCXAyp0hDKB3SzfN6lZ+wF26PcDP2UGcNrigk1fdJ6VKCpsW09b42FFg4nbAwHZezR4tFS6/OMyUVb7I3BZxNs5t48GjC/tSQcqaDcscusuquLiYJUuWcNNNNx3WynwkpmnSsGFDHnnkEe6++24Avv76a8477zw2bNhAZmZmdN/ly5dzww038NBDDzFu3DhatmxZKnT/2sKFC+nRoweLFy/mlFNO4bPPPuPSSy8lOzubBg0aAHDllVeSk5PDzJkzy/T+FLqluvCHLL5YVsL+gEV6ip1zWrmrzOSGW/eE+H6jH18IbAZ0TnfSvpGz2q17LAIHJivbFGBdbgibAee0ctMkpfKCd/7+MF+u8GFacFami5apmjxNqq5g2OKbVT527zeJcxkMaqcxtlJxdu+PBO5AGOrF2ejf1oO7ijVCSPVW4et0A+zcuZMHHniAkpKSo+4TCoW4++67D+v6fTRLly4lLy+PQYMGRbf16dMHm83GvHnzSu3bvn17Fi5cyMUXX1ymY4fDkRa0unXrAvDtt9/SpUuXaOAG6Nu3L/Pnz6/Ss8+KHA+3w+DsVm5sBmTvDVeJyZ6CYYvvNvr5dm0kcKd4Dc7v4KFjY5cCt1RbhmFwRnMXzetGusrOWFt5Y1TDZqRbuWlBRh07LepXfqu7yG9x2g36tfaQ7DEoDlhMXR3pAixyovKKfgnc9eNtnKvALZWozKF7woQJtGnThh9++IGdO3fy/PPP06BBg8NuTZo0oWXLltx1111lOu6GDRsASrVoe71eUlNTyc7OLrVvWVvpLMti9erVPPDAA1x33XWkp6dHX+vQ1wFo2rQpfr+fvLy8Ix7L7/dTUFBQ6iZSXdSLt3N6s8hkT4uyg+Tsq7wxczsLw3y+rIR1uZGZajs0cjK4g5e6cVoKTKo/m2HQK8tNeoqdsAXfVtIY1Z+zA9HZ/89sXnV6t4j8Fo/ToH9bD/EugwKfxbTVPgIhBW85frsKfwncqQmRFu6qNsxOapcyhe7s7GwmTJjAf/7zH6ZNm0bz5s0pLi7mL3/5CwsXLix1e+655/jyyy/55ptvylSAoqIibDYbbre71Pa4uDj8fn+539BTTz2F0+mkbdu2xMXFMWbMmFKvFRcXd9jrAEd9rWeeeYbk5OToLSMjo9xlEqlMLVMd0VliZ6/3sT9gntTXD5sWP24NRJbo8FvEuwwGtPXQtalLyxdJjWI7sGxfo0QbQROmrvaxp/jkfd52FIRZsSNyUevMTLfGLEq1Eu86MNbWAfnFJt+u9REyFbyl/HYWhJm62kfwwESS/dt4cGnpUalkZQrd6enpLFq0iMGDB0e3ZWZm0qlTJ5o1a1bqdsstt/Dyyy/zzjvvEAweuzur2+3GNE1CodLrNPp8vsMCclnceuutLFq0iK+++gqv10unTp3YsmVL9LUCgdJrF/t8PoCjvtZDDz3Evn37oretW7eWu0wilckwDE5vHlkuyBeKLM8SPkknMnuKTb5c7mP5ga7tLeo7uKCTl0ZJat2WmslhMzintYf68TYCYZiy2keBL/bBOxCymLshcvG4ZaqDDC23J9VQktdGvzYenHbYWWgya50fU8FbyiFnX5ipa3yETGicZKNfaw9OBW6pAo57poqrr76anj17HvGxSy+9lDfeeKNMy4Y1adIEoFRXcr/fT25uLllZWeUuV/369enYsSODBg3iv//9Lx6PhwkTJkRf69eheevWrSQnJ0fHff+a2+0mKSmp1E2kunHYDM5u6cZph9wikx+3Bo79pBNgWhbLc4JMWl7CnpLIrLRnt3TTM8utq81S4zntBv3aeKjjteELWkxZ5WO/P7bBe+GWAPsDFglug+5NXTF9LZFYqhdvp29rD/YD85F8t9GveXekTLbtDTF9jY+wCWnJds5p7cGhcw6pIip9esguXbrg9XqZMmVKdNvMmTMxDIPevXuf0LENw8But0cnVOvVqxcLFiwotZTZtGnT6Nev3wm9jkh1kOix0SsrMoxj1c4QG3eHjvGM41PkN5myysePWwOYFqSn2LmwUxxNq8AySiIni9sRGaOa5DHYH7CYEsPJoTbnh1ifF1myrFeWW606Uu01TLTTp5Ubw4ANu8Ms3BJQ8JbflL0nxLdr/YQPnHec08qNQ0PYpAqp9NDt9XoZNmwYo0aNYvLkycydO5fhw4dzyy23kJKSwqBBg/joo4/KdKyxY8cyfvx4fvzxR+bNm8f111/Ptm3buO666wC47LLLqFevHjfeeCOLFy/m5Zdf5n//+x/3339/LN+iSJWRUcdBx8aRHijfb/Szt6TiWt8sy2JdbpDPl5aws9DEYYMzm7s4p5Ubr8aWSi3kdRqc2+aXyaGmrvLhr+DJoUoCJvM2RbqVd2jspEGihm5IzZCe4qBn5i8Xipdsr/wVOKRq2pIfYsa6yKoNTevY6dPSrTljpMqpEk1PTz/9NCUlJVx++eXY7XauvfZaRo8eTTAYZOXKlWzfvr1Mx8nKymLkyJGMGDGC+Ph4unfvzpw5c+jYsSMQGbf91VdfcdNNN9GjRw8yMzN59913Of3002P59kSqlM7pTvL2h9lRYDJzrY/zO3hPuGXMF7SYt8nPlj2RXiWpCZFW9URPpV/XE6lU8e7IMjWTV/rYU2IybbWPc9tWzBhDy7L4bmMAfwjqxNk4tYnW45aaJau+g0DYYsHmAIu3BXHZDdo1Uj2XX2zaHWL2ej8W0LyunV5ZbmwK3FIFGZb665RLWRdAF6nKSoIWk5aVUBy0aFbXTu8Wx7+0UPaeEN9tjKy7bTPg1CZOOjR2at1tkUPsKTaZvLKEQBgaJUYmizrRlpg1u4LM2xTAZsDgDl7qxOkil9RMi7dFQjdEhlBkaf15ATbkhZi7IRK4s+o5OCvLpXMPOenKmg31Cy1SC3mdBn1aRsbLbc4Ps3Jn+cd3B8MW3230M31tJHCneA3Ob++hU5p+9ER+rU5cZNkahw12FJrMPMFZmQt9Jj9siUyIeFq6S4FbarRT0py0bRgJ2nM3+Nm6JzZzkkj1sS43yJwDgbtlfQVuqfr0Ky1SS6Um2umWEZnl+MetAXYWhsv83F2FYT5fVsK63MiJT/tGDgZ38FI3XuNJRY6mfkLpWZnnbPBjHkdnM9OymLPBT+jAGrTtG6nVT2o2w4jMyp9Vz4FFZOnLnQVl/82SmmXNriDfbYxcdGyd6uDMTAVuqfoUukVqsbYNHTSva8eyIicxx5pdOWxa/LQ1wOSVPor8FvEugwFtPXRrqklLRMqiUZKds1u5sRmwKT/MvE3ln5V5eU6Q3CITpx16Zh3/0BCR6sQwDM7KdJGeYidswfS1PnbvV/CubVbtjAyrgcg5zOnNXfoOlGpBoVukFjMMgzMz3SR7DEqCFrPW+Y7a8ran2OTLFT6W5QSj46cu6OilUZJat0XKo0mKg9+1cGMA63JD/FCO5ZB27w+z6MDY1h7NXCS49TMutYfNZtC7pZuGiTaCYZi22kdBBa7CIVXbih1BFmyOBO72jRx0b6rALdWHfq1Fajmn3eDsVpGxpjsLTX7OLr0si2VZrMgJMml5CXuKTdwO6NPSTa8WblwO/diJHI9mdSNdIgFW7gxFJ4n6LWEz0q3cOrAsTlY9dSuX2sdhMzintYe6cTZ8IZiy2sd+v4J3TbdseyA6j0XHxk66ZihwS/Wi0C0iJHttnJUVWQ91eU6QLQcmqSnym3yzyscPWwOYFjRJtnNhRy/N6upkX+REtUx10r1pJHgv2R5kec5vB++ftgbYV2LhcRqc0VzdyqX2ctkN+rfxkOQx2B+wmLrah+8Yw6Ok+lqyLcBPBxoETklzclq6U99/Uu0odIsIAM3rOmh3yOywy3OCfL6shJ2FJg4bnNHcRd/WbrwufW2IVJR2jSInkBCZ0HDNriMH7x0Fv6wycFamC49TJ5xSu3mckeAd5zLY57OYtsZHMKzgXZNYlsXP2YHokJrT0p10TlcLt1RPOnsWkaiuGS5SEyJj5X7cGiAYhtQEG0M6emndQFeWRWKhY+PI2vYA8zYF2JBXejmkQCjSrRygVaqD9BT1NBEBSHDbOLeNB7cDdu83+XaNj/AJLMUnVYdlWfyUHWTp9kjg7prholOaq5JLJXL8FLpFJMpmi6zf7XUaGEbkqvLAdh6SPPqqEIkVwzDoku6kdYNfeppsOWQd4gWbAxQHLBLdBt2a6qRT5FDJXhv923hw2mBHocmsdce3FJ9UHZZl8cOWQHTITfemruiFSZHqSmfSIlJKnMvG7zt5ufRUL53StPalyMlgGAanNyu9DvH2fWE254fYsDuEQWR5MKddn0eRX6sXb+ec1h5sBmzdG+b7jeVfik+qBsuyWLA5EB1Oc3ozF+0aKXBL9afQLSKHcTkMjd0WOckMw+CsLBdN69gxLZix1sf3GyPdyjs2dtIgUcvziRxNoyQ7vVtGluJbn1e+pfikarAsi+83BVi9KxK4z8x00aahArfUDDqrFhERqSJshsHvWrhpnGQnZEIgDHXjbJzSRCeeIsfStI6Ds7J+WYpv6TFWBJCqw7QsvtsYYF3uwZ49Llql6ntPag6FbhERkSrEbjM4p5WbJsl2vE6DXllu7DZ1Kxcpixb1f1mKb1F2kNU7FbyrOtOymLvBz/q8SODu1cJNi/oK3FKzaApUERGRKsZhN+jXxoNpWZpXQaSc2jVy4g9ZLNkeZP7mAC6HQWY9nfJWRaZpMXuDn835YQwDerdw06yu/q2k5lFLt4iISBWlwC1yfE5t4qTNgRUB5mzwk703dIxnyMkWNi1mrosEbpsBfVoqcEvNpdAtIiIiIjWKYRj0aOYis54dy4KZ6/zsLAxXdrHkgLBpMWOtn617I4H77FZumtZR4JaaS6FbRERERGocwzDomRmZHyFswvQ1PvKLFbwrW8i0mL7Gz7Z9YewG9G3tIT1FgVtqNoVuEREREamRbDaDPi3dNEiwEQzD1NV+CnxmZRer1gqGLaav9pFTEMZhg35tPKQlazlEqfkUukVERESkxnLYDfq29lAnzoYvaDF1lY/igIL3yRYMW0xb42NHoRkN3I2SFLildlDoFhEREZEazeUw6N/GQ6LboChgMWW1D1/Qquxi1RqBkMXU1T52FZo47XBuWw8NExW4pfZQ6BYRERGRGs/rNDi3rYc4p8G+Eovpa3wEwwreseYPRS5y5BaZuOxwbhsPqQkK3FK7KHSLiIiISK2Q4LbRv60Hlx3y9pvMWOsjbCp4x4ovaDFllY/d+03cDhjQ1kN9BW6phRS6RURERKTWSPHa6N/Gg8MGOQUms9f7MS0F74pWErT4ZlUJ+cUmHgcMaOulbrwCt9ROCt0iIiIiUqvUT7BzTisPNgO27Akzb1MAS8G7whQHTL5ZWcLeEguv02BAOy914hQ7pPZS7RcRERGRWqdxsp3eLdwYwLrcED9tDVZ2kWqE4oDJN6t87PNZxDkNBrb1kOJV5JDaTZ8AEREREamVmtZ1cEamC4DlO4Is2x6o5BJVb0V+k8krfRT4LOJdBgPbeUhS4BapGqHbsiyeeOIJ0tLSiI+PZ+jQoeTm5h51/8LCQoYPH85NN91Uartpmjz11FM0a9aMuLg4OnfuzEcffVRqn/nz59OzZ088Hg/NmjXj2Wefjcl7EhEREZGqr1Wqk64ZkeD9U3aQNbvU4n08Cg8E7kK/RYI7ErgTPVUiaohUuirxSRg9ejTjxo1j4sSJTJkyhdWrV3P99dcftl9RURGjRo0iKyuLCRMmHDb2ZtKkSXzzzTdMnDiR7777jr59+3LZZZcxb948APbu3cvAgQNp164d8+fP56mnnuKxxx7jjTfeOBlvU0RERESqoA6NnXRs7ARg3qYAm3aHKrlEVZ9lWYRNC1/QYvf+MJNX+tgfsEg8ELgT3FUiZohUCY7KLoBpmowePZpHH32UCy64AIAxY8Zw3nnnsXHjRjIzM6P7bt68ma+++oqJEycybty4w47VrVs3pk+fjsMReVudO3fmiy++4NNPP+WMM85g7dq17Nu3j+eff57ExEROPfVUPv74YxYuXMgNN9xwUt6viIiIiFQ9p6U7CYQs1uSGmLPBj9MOTVIq/VT5hFmWhWlBMAwh0yJ04L9BE0Jhi5AJwQP/DYVLb48+fujzDjnOr6eeS/YcWAvdpcAtcqhK/yZZunQpeXl5DBo0KLqtT58+2Gw25s2bVyp0t2/fnoULFwIcMXQ3btz4sG0ej4dwOAzAqaeeStu2bXnppZe49957WbJkCXPnzuW9996r6LclIiIiItWIYRj0aO4iELbYlB9m5jo/57YxSE08OctcHSkcHzHsHiUcB81Dnndw+1HCcUWzGZCaYKN3Sw9epxHjVxOpfio9dG/YsAGgVLj2er2kpqaSnZ1dal/DKN+HeP78+SxdujQ6btvlcvHOO+/Qs2dPHnroISzLYuTIkZxzzjlHPYbf78fv90fvFxQUlKsMIiIiIlI92AyDnlluAmE/2/eFmbbGx8BfLXdlWRZhiyO2/B4ako/Volzq/kkMx047OGwGDjs4bQYOGzjsv/zXech9p730484Dz3PYjF+OYwObTUFb5LdUeuguKirCZrPhdrtLbY+LiysVdstr/vz5XHjhhVx22WXRVvQdO3YwZMgQrrnmGv70pz+xZMkS7r33Xjp06MCVV155xOM888wzPPHEE8ddDhERERGpPuw2gz4t3Uxd7SO3yOTrlSV4HEapsBzrcGw3+CUUHxKSfx12yxOSHfbIRQUROfkqPXS73W5M0yQUCkXHYgP4fD7i4uKO65jjx4/nnnvu4Q9/+AP/7//9v+j2559/njp16vDyyy9jGAann346O3fuZMSIEUcN3Q899BD33ntv9H5BQQEZGRnHVS4RERERqfqcdoO+rT18s9LHnhKTYPjIMdtuIxJ6fxVuj9gifPD+r1qWjxSWFY5FapZKD91NmjQBIDs7m+bNmwORLt25ublkZWWV+3gjRoxg4sSJvPbaa1x99dWlHluyZAmnnnpqqW7qXbp0Ydu2beTn51O3bt3Djud2uw9rhRcRERGRms3tMDi/g4fcIhObwWEh2a5wLCJlVOlTC3bp0gWv18uUKVOi22bOnIlhGPTu3btcx/riiy948cUXmTZt2mGBGyIBf8WKFaW2LV26lPj4eJKTk4/vDYiIiIhIjWS3GTRKstMg0U7deDtJHhtxLhtOu6HALSJlVukt3V6vl2HDhjFq1CiaNm1KQkICw4cP55ZbbiElJYVBgwZx8803c/HFFx/zWO+88w49evSgbt26rFu3LrrdbreTmZnJsGHDOOOMM6Jdz5cuXcrTTz/NsGHDsNtPzsyUIiIiIiIiUntUeugGePrppykpKeHyyy/Hbrdz7bXXMnr0aILBICtXrmT79u1lOs6OHTuYPXs2rVq1KrW9Xr165OXl0bVrVyZNmsQjjzzC+PHjSU1N5e677+bRRx+NxdsSERERERGRWs6wLCvWEzDWKAUFBSQnJ7Nv3z6SkpIquzgiIiIiIiJSCcqaDSt9TLeIiIiIiIhITVUlupdXJwc7BhQUFFRySURERERERKSyHMyEx+o8rtBdToWFhQBaq1tEREREREQoLCz8zdWwNKa7nEzTZPv27SQmJpZa77sqKSgoICMjg61bt2rcuRwX1SGJBdUriQXVK4kl1S+JBdWrmsOyLAoLC0lLS8NmO/rIbbV0l5PNZiM9Pb2yi1EmSUlJ+iDLCVEdklhQvZJYUL2SWFL9klhQvaoZfquF+yBNpCYiIiIiIiISIwrdIiIiIiIiIjGi0F0Dud1uHnvsMdxud2UXRaop1SGJBdUriQXVK4kl1S+JBdWr2kcTqYmIiIiIiIjEiFq6RURERERERGJEoVtEREREREQkRhS6RURERERERGJEoVtEREREREQkRhS6RURERERERGJEoVuiNJG9VATVI6lIS5YsIRwOV3YxpIZ58MEH+dvf/lbZxRARKRedY1VfCt3CjBkzADAMQx9mOS5z587ls88+Y9GiRZimWdnFkRpi2LBhXHDBBezbt6+yiyI1yEMPPcSzzz7Lxx9/TH5+vn73pMJ9/vnnvPjii/z3v/9lyZIl0e2qa3K8dK5e/Sl012KWZbFp0yauuuoqHnvsMUAfZim/hx9+mKFDh3LzzTfTpUsXnnvuOUzTVD2SE3Lvvffy4Ycf8uabb1K3bt3KLo7UEPfeey8TJkzgxRdfJC8vj3Xr1mEYRmUXS2qQBx54gOuuu46JEydy2223cfXVVzN27FhA51hSfjpXrzkUumsxwzDIycmhoKCAl19+mREjRkS368MsZfHSSy/x1ltv8eabbzJ//nzGjBnDo48+yrJly3QiK8ftqaee4p///CefffYZffr0qeziSA0xfPhwXnvtNSZNmsRtt93GmWeeyX/+8x9dJJQK89133/HWW2/x3nvv8fPPPzNlyhQGDBjAfffdx3PPPQeg30YpF52r1xyOyi6AVB6/38+//vUvBg0axFlnncW4ceOw2+38/e9/j36Y9eMgR+P3+/n555+55pprGDRoEAB3330377zzDuvXr6dDhw7Y7fZKLqVUN8XFxXz77bf06tWrVAv322+/zerVq2nRogWdO3emc+fOlVdIqXYmTpzI22+/zaRJkzjrrLMAOOWUU3j//fcB9JsnFWL37t0kJCTwu9/9DofDwamnnso999zDtGnTuP/++3G5XNx1112VXUypRnSuXnOopbuW27VrF7169eLaa6/lxhtv5L333uP+++8HdBVNfpvb7ebhhx/moosuKrXd6/Uyb948evbsyR133MFnn31WOQWUaikuLo7XXnuNffv28cILL5CXl8fZZ5/Nk08+ydtvv819993HnXfeyeeff17ZRZVqpF27dsyePZuePXtGf9duv/12du/ezfPPPw+oBVJOXKNGjcjJyWH+/PkAhMNhMjIy6NWrFxdeeCGvvfYa3377bSWXUqqb3NxcnavXAArdtYzP54t+ON1uNxMmTOCee+6hYcOG3HLLLfzxj3/k/fff14dZjurQOpSZmckZZ5wRfeyxxx5j3rx5+P1+unfvztKlSxkzZgxbtmyprOJKNXGwXlmWRbNmzXjvvff43//+R4MGDfB6vXz44Yds3LiRjz/+GJfLxeuvv05JSUllF1uquIN1pHfv3rRv3x7TNDEMA9M08Xq9/P73v2f+/PkEg0H91slxOfQ3sU2bNpx55pk8//zzzJo1C7vdzpo1a/j4448ZOHAgjRo1Ys6cOYAmVZNjM00Tt9vNyy+/rHP1GkDdy2uR0aNHM2/ePPLy8rj44os577zzaN26NZZlEQqFaNy4MTfffDMA//rXvwB49tln1X1Fon5dh4YMGUKLFi0wTZP169czZ84c3nnnHYYMGYLb7WbKlCkMGTKE7OxsmjZtWtnFlyrq1/Vq4MCBtG3blsmTJzN27FiefPLJaP3p1asXf/zjH7nxxhvZuXMnzZs3r9zCS5V1sF7l5uZyySWXRL+vwuFwdOjLZZddRu/evbnyyiu5+OKLK7nEUt0c+t11ySWXcNVVV/GXv/yFESNGcOGFF9K+fXvmzZvHn/70J4YNG0YgEGDixIk88MADOJ3Oyi6+VEHvvfce9evXp3///thsNsLhMA0bNgTQuXo1p5buWuKpp57imWeeoUOHDiQkJPDaa69x6aWXsmDBAgzDwGazYVkWjRo14uabb+aPf/wjH330Ebfffjugbndy5Do0dOhQFixYgM1mo0mTJrzzzjtccskluFwuAOrVq0ebNm00+7Qc1ZHq1WWXXcZ3331Hly5d+H//7/9FA/fB5eiSkpJo1aoVderUqcyiSxV2aL1KTEws9X1lt9sJh8OYpkmvXr24/fbbGT16NBs2bKjsYks18uvvrpdffpn+/ftTt25dJk2axHPPPUf//v156623ePnllwFwOBw0atQIl8ul8yopxTRNgsEgb775JiNHjoz2iDh0bhyHI9JWqnP1asqSGq+kpMTq27ev9dJLL0W3ffnll9YFF1xgxcfHW3PnzrUsy7JCoZBlmqZlWZa1Y8cO6/7777c6depk7dy5s1LKLVXHserQ7NmzLcuyrGAwGH08GAxa99xzj9WtWzcrLy/vpJdZqr7yfDcdZJqmdccdd1hnn322VVBQcNLLLFVfeevVl19+aXXr1s165plnLJ/PVylllurlaHVs8ODBVkJCgjVv3rwjPu+WW26xrr76asvv90fPt0QO2rx5s5WcnGydcsopVu/eva2ZM2f+5v46V69eFLprgT179lgZGRnWK6+8Umr78uXLrUsvvdSqU6eO9eOPP1qWZVnhcDj6+M6dO63c3NyTWlapmspThywrcvJx9dVXW/Xq1bMWL158sosr1UR569Wnn35qDR061KpXr561ZMmSk11cqSbKW68sy7L+8Ic/WJmZmVZhYeHJLKpUU79Vxy655BKrTp061sKFC6PbFy9ebN1www1WcnKytXTp0pNdXKkGQqGQNWbMGGvAgAHWRx99ZPXv39/q1avXMYO3ztWrD3UvrwVSUlLo168fr7/+Ojt37oxub9++PY899hi9e/fm/vvvZ8eOHdhsv1SJBg0aUL9+/cooslQx5alDOTk5rF27lpKSEmbMmMEpp5xSiSWXqqw89crn8wGRMW3ffvstnTp1qqxiSxVXnnp10L///W9mzZpFQkJCZRRZqpnfqmOPP/44vXv35sEHH4zWsVAoRE5ODjNmzKBjx46VVWypwux2O40aNaJJkyYMHTqUu+++G4/Hw8iRI5k1a9ZRn6dz9epDobuWGDJkCIFAgFdffZWCgoLo9o4dO/KHP/yB3NxcsrOzK7GEUtWVtQ41btyYP/7xj7z99ts6uZBjKmu98ng8XHDBBXzwwQcK3HJM5fnNC4fDAKSnp1dKWaV6Kk8d69KlC5988gmdO3eupNJKdXDVVVfx2muvATB48GDuvvtu3G73YcHb0kzl1ZJCdy1xySWXcMYZZ/D222/z1ltvlfqBuPjii/H7/XzxxReVWEKp6spShw6unRwfH09cXFxlFVWqkfLUK8Mw8Hg8lVVUqUbK85t36ERFImVV3vMqfXdJWR28EPjr4D179mxAE6ZVVwrdtcDBGX//+c9/0q1bN8aOHcu4cePIz88HIlfMWrduTbNmzSqzmFKFlbUOafkmKQ/VK4kF/eZJrKmOSSzZ7XZCoRDwS/COj4/n9ttv57vvvqvk0snxMiz1UajxQqFQdJkBgHvvvZfp06djWRaDBg1i69atfPXVV8yfP5/WrVtXYkmlqlIdklhQvZJYUL2SWFMdk4p2sE6VlJTg9XoBSq27/fHHH/Pmm2/ywgsv6GJONaWW7hrm19dQDn6IN27cyHnnncfq1asZM2YMTz75JL/73e+YN28egUCAmTNn6odBANUhiQ3VK4kF1SuJNdUxqWi/Vacuv/xyfvzxRyDSjfzgvkOHDuXtt99W4K7G1NJdA3zyyScAXHTRRcAvV8YO/nfjxo10796d888/n1dffRWXyxV9biAQwGazlbpiK7WP6pDEguqVxILqlcSa6phUtPLUqddff73UXBOHtnhL9aVvhGrMNE3C4TCvvPIKgUCAhIQE+vfvX+pDvHfvXgYPHsx5553Ha6+9dtiPwKE/FFL7qA5JLKheSSyoXkmsqY5JRTueOvXryR0VuGsGtXRXc1u3bqVNmzY0adKENm3acNdddzFgwIDo4zk5OcybN48LL7xQM7TKEakOSSyoXkksqF5JrKmOSUVTnRLQmO5qzTRNPv30U84++2zGjh3L7t27ef755/nmm2+i+zRu3JihQ4fqQyxHpDoksaB6JbGgeiWxpjomFU11Sg5S9/JqzGazkZ6eTmZmJueffz4ej4dHHnmE559/HiB6FU1jQeRoVIckFlSvJBZUryTWVMekoqlOyUHqXl7N7Nq1i5KSklKzF5qmic0W6bQwbdo0Ro4cSUpKCvfcc48+zHIY1SGJBdUriQXVK4k11TGpaKpTciTqXl6N/PWvf2XQoEGcdtpp9OnTh++//x6IXEUzTROAfv368dRTT7F3716ef/55pk6dCmgSBolQHZJYUL2SWFC9klhTHZOKpjolR2VJtfCXv/zFSk1Ntf75z39a7733ntW1a1frlFNOsYqKiqL7mKYZ/f+pU6davXr1ss4880xr+vTplVFkqWJUhyQWVK8kFlSvJNZUx6SiqU7Jb1HorgZycnKs3r17Wx988EF0W15enpWcnGyNGTOm1L6Hfpi//vpr69xzz7U2b9580soqVZPqkMSC6pXEguqVxJrqmFQ01Sk5Fk2kVg3YbDZSU1Np164dEBnzUa9ePTp06MC2bdtK7Xto15SBAwfyu9/9jri4uJNaXql6VIckFlSvJBZUryTWVMekoqlOybFoTHc1UKdOHYYNG0bHjh0BCIfDANStW5eEhASA6DiRg0KhEABer/ckllSqKtUhiQXVK4kF1SuJNdUxqWiqU3IsCt1V1IwZM/jmm2+YOXMmTqeTfv36AZEPrMPhIBAIsGLFClJSUgCiMyJ+8skn5Ofn43BEOjFoUobaS3VIYkH1SmJB9UpiTXVMKprqlJSHQncVdP/993PJJZdw0003cc4553D11VczY8YM4JcPLEQ+pK1bt47e//Of/8ztt9/O/v37T3aRpYpRHZJYUL2SWFC9klhTHZOKpjol5VaZA8rlcFOnTrWaNGlizZ4929q4caM1bdo0Kysry/rd735n/fvf/47ut3btWqtevXrWihUrLMuyrBEjRlgej8f64YcfKqvoUkWoDkksqF5JLKheSaypjklFU52S46GW7iomOzubpKQkTj/9dJo3b07fvn2ZNGkS8fHxvPzyy7z77rsANGvWjPT0dCZPnsy9997Liy++yNy5c+natWslvwOpbKpDEguqVxILqlcSa6pjUtFUp+R4KHRXMWlpaQSDQVasWAFEJmJo27Yt//znP4mLi+P1119n+fLl2Gw22rdvz7333strr73G3Llz6dKlSyWXXqoC1SGJBdUriQXVK4k11TGpaKpTclwqu6ldLGvBggXW3LlzrXnz5lkFBQVWkyZNrLvuuiv6eDgctizLspYvX241atTIGjFihGVZllVUVGT169fP+vnnnyuj2FKFqA5JLKheSSyoXkmsqY5JRVOdkhOl0F3JHnnkEatFixZWgwYNLI/HY40fP96aNm2aZRiGNW7cuOh+oVDIsizLeuedd6xmzZpZmzdvrqwiSxWjOiSxoHolsaB6JbGmOiYVTXVKKoKjslvaa7MxY8YwYcIE/vOf/5CQkMDSpUu57bbbeOONN3j++ecZPnw4hmFw2223YbfbAUhJSaF+/frUrVu3kksvVYHqkMSC6pXEguqVxJrqmFQ01SmpKArdlWjlypU8+eSTDBw4EICOHTvy9ddfM3PmTF566SUKCwu56667WLt2LRdffDHt2rXj22+/xWazEQ6HK7n0UhWoDkksqF5JLKheSaypjklFU52SiqLQXUl8Ph/bt2/n4osvjm5LTk6mSZMmfP/99zgcDkaOHEmrVq148MEHef/994mPj6e4uJgvv/yS5OTkSiy9VAWqQxILqlcSC6pXEmuqY1LRVKekIil0VxKPx8O///1v6tevD0AwGMTpdJKQkECjRo2w2+2YpskVV1xBz549yc7OpqSkhFatWpGenl7JpZeqQHVIYkH1SmJB9UpiTXVMKprqlFQkLRlWiQ5+iAFstsg/xapVq0hLSyu1bdq0aViWxTnnnKMPsZSiOiSxoHolsaB6JbGmOiYVTXVKKopCdxVxcPKFgoKC6AcZ4M9//jM33ngjqamplVU0qSZUhyQWVK8kFlSvJNZUx6SiqU7JiVDormKCwSCJiYkAjBgxgokTJ7Jw4UJatmxZySWT6kJ1SGJB9UpiQfVKYk11TCqa6pQcD8OyLKuyCyFgRdZMZ9CgQaSmppKRkcHYsWOZO3cuXbp0qeziSTWgOiSxoHolsaB6JbGmOiYVTXVKToRCdxUzZcqU6LIEP/zwgz7EUm6qQxILqlcSC6pXEmuqY1LRVKfkeCh0VzGWZfH222/To0cP2rRpU9nFkWpIdUhiQfVKYkH1SmJNdUwqmuqUHA+F7irIsiwMw6jsYkg1pjoksaB6JbGgeiWxpjomFU11SspLoVtEREREREQkRjR7uYiIiIiIiEiMKHSLiIiIiIiIxIhCt4iIiIiIiEiMKHSLiIiIiIiIxIhCt4iIiIiIiEiMKHSLiIiIiIiIxIhCt4iISA0XDocruwgiIiK1lkK3iIhIDVZSUkLLli1ZtGhRZRellA0bNvDiiy9G74dCIQAmTZrE999/X1nFEhERqXAK3SIiIjWY1+vl8ssv55VXXjnqPps2bcIwDBISEo56i4uLo3nz5oc994YbbsAwjN+8PfXUU4c9780332ThwoUAWJZF165dmTdvHvn5+YwcObLC3r+IiEhlU+gWERGpIY4WgJ999lleeumlIz726quvAlCvXj2KioqOevvuu++O+rpPPPEEwWDwiLc//OEPh+1vmiZvvfUWd955JwAffvghwWCQ008/nSuuuIKNGzfy4YcfxuaPJCIicpI5KrsAIiIiUjHeeOMN3njjjej9VatW0bZt2+j9UCjE4sWL6dq1a6nnbdq0id27d5OQkHDUY5umSYMGDY74mM1mw+E48imFYRiHbfvss89ITU2lW7duFBQU8Oc//5mJEydiGAYul4sJEyZw9dVX06FDB9q3b/9bb1lERKTKU0u3iIhIDfTEE09wzjnnsHfv3ui2pUuXMmDAAMaMGXPY/ifS0l0elmXxl7/8hbPPPhvLsrjxxhvp3bs3559/fnSfAQMGcM8999C3b98Ke10REZHKopZuERGRGsQ0TR588EHeeustJk+eTEpKSvSx0047jU8//ZRrr72WZcuWMXHiRJxOJwB79+4t1Sr+a36//6iPPfroozz66KNHffzJJ5+M/v+///1vfv75ZwYMGMBdd93F2rVrjxisH3nkESzLYsCAAaxZs4a0tLTfetsiIiJVlkK3iIhIDbFnzx6uvvpqNm7cyAcffMBFF13EokWLSEpKAiLduu+55x7mzJnDwIEDGTx4MF9++SUZGRls2rSJDz/8kJSUFM4999zDjr19+3beeuutw7aHw2GeffZZ7rvvviOW6YYbboj+f15eHvfffz9Dhw4FYMiQITgcDho1anTE53700UesXLlSgVtERKo1hW4REZEaYu/evaSkpDBv3jxSUlLo1KkTTz/9NH/7298wTZPHHnuMe+65h/T0dGbOnMl///vf6FjsJUuWcP/99+NwOLDb7Ud9Db/fz8svv1zq/m+NBT9UfHw899xzD36/H5/Px8CBAxk4cCDPP/88KSkprFq1KhrAO3fujMvlIiMj4wT+IiIiIpVPY7pFRERqiMzMTN59991ol/Jnn32W8ePH89VXX0WX4br55psBqF+/PrfeeisAEydO5IknnmDXrl1s3LgRm83G8uXLKSoqolOnTnzwwQcUFRXx8MMPHxbI9+zZw2233XbU5cL+/e9/R/f1er089NBDh5Xb7/dTWFhI/fr1S22Li4ur0L+PiIhIZVBLt4iISA3Vpk0bXn75ZS677DI8Hg8LFy7E5XKV2ueOO+7g+++/Z9KkSSQnJ3PppZdywQUX0KxZMzZs2MDKlSvp168fACUlJSQmJpZ6/ubNm/npp5847bTTjliGQ7uXH82yZcto0aJFqRnQfT4fXq+3nO9YRESk6lFLt4iISA21YsUK3nrrLRITEwmFQrz88svk5+eX2mf48OHMnj2bxMRErrvuOhYvXsyLL74IwJ133sm9996L2+0GID8/n+Tk5Ohzs7Ozyc7Opl27didUzg8++IABAwaU2rZ//36FbhERqREUukVERGqQwsJC3n33XQYNGkTXrl3Jyspi5cqVLFiwgCVLlpCRkcEf/vAHPvroI3Jzc2nVqhWzZs2iW7duLF26lGnTplGnTh0efvhhNm7cyP333x89dk5OTqm1ut977z369u2Lx+M5anlM0zziWt0HrV27lpdffpk77rij1PaCgoLDWtVFRESqI4VuERGRGuKll16iXr16PPbYY/Tq1YuNGzcybtw4UlJSaN26NZMmTWLOnDnEx8dzyy23kJaWxtixY7nooos4//zz+f7774mPj+eaa67h/fff56OPPmL37t0UFBSwaNEipk+fTrdu3QDIzc1l9OjR3HbbbYeVY8eOHezYsYP169czf/78UmO1D7Vr1y4uuOACHnroIbKysti2bRuBQIDPP/+cxMREGjZsGNO/l4iIyMlgWJZlVXYhRERE5MTt27ePTZs2ceqppx5zX9M02bRpE02bNmX79u00bdqUUChEx44dadu2LRMnTmTt2rX87ne/AyApKYlhw4bxt7/9DYCnn36ar7/+mpkzZx7Wkn3bbbcxfvx4bDYb3bt356uvvqJOnTrRxx9//HF8Ph8ej4eioiKee+45CgoKqFOnDqZpkpqayj//+U+uuOKKCvzriIiIVA6FbhEREYnauXNnmVqYw+Ewubm5R11j27IsLMvCZitfp7pwOPybS5aJiIhUNwrdIiIiIiIiIjGiMd0iIiIiIiIiMaLQLSIiIiIiIhIjCt0iIiIiIiIiMaLQLSIiIiIiIhIjCt0iIiIiIiIiMaLQLSIiIiIiIhIjCt0iIiIiIiIiMaLQLSIiIiIiIhIjCt0iIiIiIiIiMaLQLSIiIiIiIhIjCt0iIiIiIiIiMaLQLSIiIiIiIhIjCt0iIiIiIiIiMaLQLSIicpy2bdvGTTfdxKJFi8r9XJ/Px6ZNm8p0y8vLK/XcQCDArFmzSm0rKipix44dR73t27fvqGW59957+ctf/hK9v3DhQs4444zD9svPzz/m+yooKOCaa67hrrvuOua+B3344YcMGzaszPuXxciRI1m+fHmZ9g2FQkfcnp2dzQsvvEBxcXFFFk1ERGoZw7Isq7ILISIiUh1ddNFFzJ8/nylTpuBwOMr0nLZt2wIwY8YMzjnnnDI95/rrr+eNN96I3n/vvfe47rrrmDFjBj179gTg8ccf54knnijzMQ764osvuOiii/jkk08YMmQIAFOnTuXcc8/l4CnC119/zWOPPUZhYSFLliw56nsNh8NccMEF/PDDD+Tn5/Of//yHK6644pjvb82aNXTs2JGffvqJjh07AvD222/z4IMPHvU5zz//PJdddtlRHzcMgw8//JBLL730N1973rx5nHnmmWzcuJHmzZuXeuzgv1FOTg6NGjU65vsQERE5krKdIYiIiEgpzz33HJ9++ikAnTp1KvPzgsFgqdC6adMmGjZseNT9L7744sO2XXnllbzzzjtcc801/7+9+w6Pqkr/AP690yc9pEB6AqETegAVAwIixQLWta2yigULFhRR7K7uimVBlqY/Uey6dhEVkY6EoHQCJKSQQiC9Tr/n98dNBiIJJJBhZpLv53nm0dy5c+fMcGbmvve85z3YtWsXAgMDAQBjxozBzz//fMr+9913HywWyynb09LScOONN2L27NnOgPtk//nPf7BkyRIcPXoU06ZNw/33399swF1bW4u//e1vSE1NxcaNG7F582bcdtttANBk4L1lyxaMGTPG+bfdbsegQYOgVqsBAAsXLsT//vc/AMA333yDzz77DJ988olz/27dujXZjvMlKysLXbt2dWsbiIjIOzC9nIiIqJXeffddPP7445g/fz6EEK26/TVo1ev1MBgMzd5UqqZ/qhcvXozy8nK8+eabzm12ux0VFRWn3JoKuNeuXYtx48ahpqYGU6dOBQDs2bMHr732Gp555hkAwJIlS3D//fejoKAA//nPf9C5c2dMnz79lHT3gwcPIiUlBX/88QfWr1+PPn36YPr06XjzzTdx4403Ys6cObDZbI0eI8syunTpgqysLPzzn/+E3W6HzWaD2WzGwIEDERoaihEjRmDEiBEwm8244IILnH+PGDECYWFhZ/x3uu666yBJUpO3kSNHnvHxzXnjjTfQs2dP7Nix46yPQUREHQdHuomIiFph4cKFeOihh/D6669jw4YNmDlzZoset3v37laNiJ9JVFQU1qxZg4EDBzq3bdiwodlgtGHUGQA+++wz3HLLLZg+fToWL14MAHj00UfxxhtvIDIyEn379gUApKenQ5Ik5+Py8/Pxzjvv4OmnnwagBPn/+c9/8PTTT2Pw4MH4448/EBER4dz/3nvvRZcuXfCPf/wD3377Lf773/86U+p79+6NxYsX4/XXX8fmzZvx6KOPOh/3yiuvICIiAhMmTAAA7Ny5E35+fs6/O3fujPfff/+M79H8+fMxfvz4Ju/z8fE54+Ob8p///AePPvoonnnmGQwaNOisjkFERB0LR7qJiIhaYdy4cfjhhx/w8MMPY9euXXjiiSeQkZGBAwcOYMqUKfj555+RkZHhvH333XcAAF9f3yaPFxER0exorCRJWLlyZbNtGTp0aKOR87FjxzY5un733Xc3elzfvn3xr3/9C4sWLXJue/jhh7F161bk5+dj3rx5AJTgPDMzE5mZmdi/fz/mzZuHsLAwxMTE4JNPPkHv3r0xe/ZsTJ06FUuXLkVlZSUOHDjQ6Na7d298/PHHqK6uxpgxY5CSkoLvvvsOISEhSE5OxrJly7B9+3ZoNBpoNBpIkoQff/wRoaGh+Pnnn2G32zFw4EAkJiYCAEpLS7F+/foW/VtFRkaiV69eTd5iY2Mb7Xv48OFG7c7Pz290vxACc+bMwSOPPIJ//etfp50/T0REdDKOdBMREbVCQ9BWW1uLw4cPIyUlBYmJibDZbPDx8cENN9yAzz77zDnCevz4cQDNB92///47goKCmn2+v1b1Xrx4MebMmQMAGDlyJH744QfnfRaL5ZRgEVDmWzfMlQaAfv36OQuWNYiOjkZ0dDQAYMCAAbjzzjtx5513ora2FoBSmCwqKgoLFizAoUOH8I9//AOTJk3CihUrcOGFFzaab92UqVOn4rXXXsMLL7yA1atX48orr8Tdd9+Niy66CD/99BMAJb19xIgRznR3APjf//4HjUaDP//8EykpKfj1119x5513nva5zsa4ceMa/T158mTMmjULAFBeXo67774bv/zyC1asWIFbbrmlzZ+fiIjaLwbdREREZ2H37t0QQqB///4AAK1W66y4fXKAazKZAJyaztywTFVSUlKzATlwarA+adIkJCQk4MMPPzwlwN60aRNiYmKaPM7J6eUne/vtt0+p2t2w/e233262XVlZWc5U8r8uhNKrVy/ceeedzqD1ZNdddx3sdjs+//xzbNy4EY888gguvvhiPPHEE3j00Udx22234cILL2w0b/zw4cMYN24crFZrk205cOBAk9sLCwubvK9bt27QarWNtjVXvRwARo0aBYPBgA0bNiA5ObnJ5yIiImoO08uJiIha4fLLL4ckSbjwwgsBKCPEDangKpUKr776KsaNG+fc1jCCGhAQAEmSnMt2mc1mAIDBYGjV88fFxWHChAnOdOuTNaSXr1mzBrW1tc708j/++AOxsbFYsWJFo/3nzp2L6dOnIyws7LQp7g23hiAUQKO5262hUqmg0+kwadIkrFq1Cvfddx/69u2Lyy+/HIcPH26yWnvDe9uc3r17n3IDgJkzZzZ5X25ubqvafNFFF2Hnzp0MuImI6KxwpJuIiKgVlixZgpqaGjz77LPIy8vDu+++C0AZ0X7hhRfw+OOPIzg42Ln/ypUrMXfuXGel64Zgtby8HGq1GhkZGad9vtraWoSGhra4fQ6HA08++SSOHz+OpUuXQqfTYc6cOUhLS8P111+PW265pVEAO2zYMHz00UfOvy0WC0pKShAVFdXomA3ri5/s2muvxZdfftlkOx577DE89thjp2xfu3YtRo8eDT8/P/Tq1QuLFy/GRx995FyObNKkSRgzZgyee+4552Pq6urOWPjs+++/b3LZs5M1zDFvrcWLF6NTp06tfhwRERHAoJuIiKhVGuY95+XlITk52RmMNizPddNNN+Gbb77BgAEDAAAbN26Ev7//KUFrXl4eHA5Hi4LA5lLDm6JWq7Fx40Y899xzmDhxIhwOB+666y58/vnnzrafzGg0Nho1//HHH3HVVVc1WuKrIRX+rxYsWICJEydCr9dj6NChzu2TJk3Cddddh2nTpjkfv2DBAkyfPt1ZGf3tt9/GrFmz0LNnT3z33XfOquYzZszAc889h4CAAOfxysrKTjvvnYiIyJMxvZyIiKiVZFnG7t27nfO5ASAoKAg///wzJk6c2GiZrerqavj5+Z1yjF27duHSSy8947rekydPblXbqqqqsGjRIvz000/YtGkTEhMT8e233yI1NbVFj6+pqYFer2/RvpGRkdi5cydmzpwJq9XqLDKn0+kQFhbm/Pvtt9/Gl19+CT8/P+eIdUpKCl555RWkpaVhzJgxzhT2Hj16YOrUqQgPD3c+T3p6erNz1d3lySefPO2cdyIiogYMuomIiFqprq4OtbW1uPPOOxvNedbr9Vi8eDEGDBjg3Pboo48iOzsbkiQ5K4ZbrVb8+uuvuOCCC866DbIsN/p7z549+PPPPxEVFYWXX34ZU6ZMwYgRI7Bjxw6MGzcO1157LaZPn37G4/75559QqVT47LPPnEXgTufNN99EcnIyLr300iYrp//73//GO++8gx9++KHRqH7Pnj1x4YUXIioqqtFFhlGjRgFQCsi98sor0Ov1+Pjjj1FSUoKsrCx0794ds2fPPmO7ztbRo0fx+OOPY+7cuafdb+PGjfjtt99c1g4iImo/mF5ORETUSr6+vmeci93gvvvugyRJWLhwoXME+aOPPkJZWRluuOGGMz5eluVG1dABYNu2bXjrrbcgSRKysrLQtWtXBAUFITAwEE8++SRuvfVWZ4E2Pz8/fPjhhxg3btwpFbsnT56MgQMHOv/+7LPPMH/+fAwfPhx33XUXpk+fjilTpuCWW27B66+/3mTxNo1Gg88//xyffPJJk+nrF154Ib788stWX2AwGo144okn8PTTTyMvLw/Tp0/HwIED8corr2DGjBmtOtbpNFy82L9/P/75z3/igw8+QFhYGF577bVGGQt/lZ2d7UyJJyIiOh0G3URERK0kSVKTASigBMQ2mw2BgYHYu3cvNm3ahH//+9/O/cvLyzF37lxMmTIFffr0OeXxZWVlKC4uhtFoREFBAbZt24ZHHnnEeX9aWhrGjx+Pa6+9FpIkITk5GY899hhuvPFGzJgxA/7+/sjLy3MGjLIsw2azYdCgQbDb7Thy5AhiY2Nht9sRGRmJiooKPPPMM/jqq69w4MABzJo1C6+88grMZjO++uorvPfee5gwYQJiYmJQUVGBadOmISEhAaNHj8b69esbtf2ee+5x/n9zhdQAZT53w1rbBQUFpwS3999/P4qKijBz5kx88803+OGHH3DppZciOTkZt956K1auXInly5ejc+fOzsdcccUVzf57nU7Da5g8eTKGDh2KDz74AFOnToVGo8HevXsBKGuFN1ShF0Lgl19+QUFBAYYNG3ZWz0lERB0Lg24iIqI29NVXX+Hf//43AMDf3x/XX3+9M8AEgEWLFqGmpgavv/56k4/fu3evM8VarVZj5MiRjYLZ48ePY+TIkVi6dClUKhWGDx+O5cuXY968eaipqYEsy85bU7744gv4+fkhPj4e1dXV0Gq16N+/P6ZOnYrbb78d3bp1A6CMNN988824+eabkZmZicWLF+O///0vVCoVnnvuOaxYsQJ1dXVn9R6dvNxYVFRUo7T00aNHIyMjA3//+98RFBSE1atXIyUlBQAwZcoU/Pbbb5g0aRJWrFjRKKhfvHgxRo8efdrnzc7OxqRJkxptGzp0KOLi4rBw4cJTqp/369cPt9xyC2bNmgWLxeLc7uPjg2nTpmHixImtfu1ERNTxSEII4e5GEBERtScOhwMWi6XJZa6EENi/f7+zindThBCw2WxQq9WnpJYDLVtCq8HJQbgQAjqdDpIkYdeuXdDpdEhMTDwl7bw5JpMJsizD19e3RfufidVqxfHjx5tMS3/vvfcwdepUBAYGnnJfZmYm4uLinO02m83Q6XSnXcv7dOx2OzQajkMQEZFrMOgmIiIiIiIichFWLyciIiIiIiJyEQbdRERERERERC7CoJuIiIiIiIjIRRh0ExEREREREbkIS3W2kizLKCwshL+//ynrihIREREREVHHIIRAdXU1IiMjT7uCBoPuViosLERMTIy7m0FEREREREQeIC8vr8nlLxsw6G4lf39/AMobGxAQ4ObWEBERERERkTtUVVUhJibGGSM2h0F3KzWklAcEBDDoJiIiIiIi6uDONO2YhdSIiIiIiIiIXIRBNxEREREREZGLMOgmIiIiIiIichEG3URERERERORRskvtqDLL7m5Gm2AhNSIiIiIiIvIY1WYZW7IsEAAm9zUi2Me7x4q9u/VERERERETUbgghkJprhUMA4f4qBBlPXxncGzDoJiIiIiIiIo9wpNyBwkoHVBIwIk5/xuW4vAGDbiIiIiIiInI7q0NgW64VANAvQosAY/sIV9vHqyAiIiIiIiKvtivfCpNNwF8vISlS6+7mtBmPCLqFEHj++ecRGRkJX19fTJ06FcXFxc3uX11djZkzZ2L69OnN7mO329GzZ08kJiY22p6Xl4fLL78cvr6+iIyMxGuvvdZmr4OIiIiIiIhar7TWgQPH7ACA4fE6qFXen1bewCOC7nnz5mHBggVYunQpVq9ejYMHD+K22247Zb+amho888wz6Nq1K5YsWQIhRLPHfPvtt3Ho0KFG2xwOByZPngyHw4GNGzfi+eefx+zZs/H555+3+WsiIiIiIiKiM5OFwNYcKwSA+E5qRAa2r0W23B50y7KMefPm4emnn8YVV1yBCy+8EG+88QZWrVqF7OzsRvvm5uZi1apVWLp0KS644IJmj3n8+HE8++yzmDJlSqPtK1euxIEDB/D+++9j8ODBmD59Oq677jr897//dcVLIyIiIiIiojPIOG5Haa0MrRoYGqtzd3PanNuD7j179qCkpAQTJkxwbhs1ahRUKhW2bt3aaN8+ffogLS0NV1999WmP+cADD+Cmm27CgAEDGm1fu3YtBg8ejPDwcOe2MWPGIDU19bSj5kRERERERNT2TFYZf+YrxdMGRevgo3N7iNrm3P6KsrKyAAAJCQnObUajEWFhYcjPz2+0b0vKxX/44YfYsmULXnjhhSaf6+TnAYDY2FhYLBaUlJQ0eTyLxYKqqqpGNyIiIiIiIjp32/OssDmAEB8VeoS3r7TyBm4PumtqaqBSqaDX6xtt9/HxgcViadWxMjIy8MADD+C9995DQEBAk8/l4+NzyvMAaPa5XnnlFQQGBjpvMTExrWoTERERERERnaqw0oHsUgckACMSdFC1gzW5m+L2oFuv10OWZdjt9kbbzWbzKQHy6VRXV+Oqq67C/fffj7Fjxzb7XFar9ZTnAdDsc82ZMweVlZXOW15eXovbRERERERERKdyyAKpOcrAZ8/OGoT4qt3cItdx+/h9VFQUACA/Px/x8fEAlFHn4uJidO3atcXH+eqrr5Ceno558+Zh3rx5AJRlw2RZhsFgwNtvv42oqChkZGQ0elxeXh4CAwPRqVOnJo+r1+tPGYUnIiIiIiKis7f3qA3VFgGjVsLAqPZXPO1kbg+6Bw8eDKPRiNWrVzvX3V6/fj0kSUJKSkqLjzNlyhSkp6c32rZw4UJ8//33+PnnnxEREQFZlvHRRx+hsrISgYGBAIA1a9Y0OzJOREREREREbavKLGNPoQ0AkByrg07TPtPKG7g96DYajbj33nvxzDPPIDY2Fn5+fpg5cybuvvtuBAUFYcKECbjrrrvOWLG8Yc71yUJDQ6HVatGrVy8AwHXXXYe5c+di2rRpePbZZ5Gamoovv/wSGzZscNnrIyIiIiIiIoUQSlq5LICIADXiOrXftPIGbg+6AeDll1+GyWTC9ddfD7VajVtuuQXz5s2DzWZDeno6CgsL2+R5fHx8sGrVKkyfPh3Dhg1DQkICPvnkEwwfPrxNjk9ERERERETNyylz4GiVDJUEDI/XtWiFKm8nCS5Q3SpVVVUIDAxEZWVlkxXSiYiIiIiI6FRWu8C3e0ww2QQGRmnR38vncrc0NnR79XIiIiIiIiJq/3bkW2GyCQQYJPSN0Lq7OecNg24iIiIiIiJyqZIaBw4eV5aJHh6vh1rV/tPKGzDoJiIiIiIiIpeRhcDWHCsAoGuIGhEB7b942skYdBMREREREZHLHDxmR1mdDJ0aGBKrd3dzzjsG3UREREREROQSdVYZO/OVUe5BMToYtR0nrbwBg24iIiIiIiJyibQjVthkINRXhR5hHrFi9XnHoJuIiIiIiIjaXEGFHbllDkgARnSQNbmbwqCbiIiIiIiI2pRdFtiWq6SV9+qsQSffjlU87WQMuomIiIiIiKhN7S20odoi4KOVMDBa5+7muBWDbiIiIiIiImozlSYZe4/aAADJcTpo1R0zrbwBg24iIiIiIiJqE0IIpOZYIAsgKlCN2OCOm1begEE3ERERERERtYnsUgeKqmWoJWBYBy6edjIG3URERERERHTOLHaB7UcsAID+UVr46xluAgy6iYiIiIiIqA3syLfCbAcCDRL6dNG6uzkeg0E3ERERERERnZPiGgcOHbcDAEbE66FWMa28AYNuIiIiIiIiOmuyENiao6zJ3S1Ug84BLJ52MgbdREREREREdNYOHLOjvE6GTg0MienYa3I3hUE3ERERERERnZVai4yd+coo95AYHQxappX/FYNuIiIiIiIiOitpR6ywy0CYnwqJYRp3N8cjMegmIiIiIiKiVsuvsONIuQMSlOJpXJO7aQy6iYjOUUWdjKwSO2Qh3N0UIiIiovPC7hDYVl88rU8XLYJ9GFo2h+P/RETnILPYhq05VsgCqLNp0S+CxUOIiIio/dtdaEONVcBHJ6F/FNfkPh1ejiAiOguyLJCaY8GWbCXgBoDdBTbUWmT3NoyIiIjIxSrqZOwrsgEAhsXpoFUzrfx0GHQTEbWSySaw+qAZB4/bAQADorQI91fBLivFRIiIiIjaKyEEtuZaIAQQHaRGbDCTp8+k1UH3vn37sGLFiibvKyoqgsFgQEJCAq666ips2bLlnBtIRORJSmocWLnPhGPVMrQq4JLuegyI0mF4nB4SgCPlDhRU2N3dTCIiIiKXOFxix/FqGRqVMspNZ9bqoLuwsBD33ntvk4F3YGAgNm/ejIULFyI2NhZ/+9vf2qSRRESe4HCxDT+lm1FnFQgwSJjU14iY+qu7wT4q9O6i/H9qrhV2mUXViIiIqH0x2wT+yFOy+vpHaeGnZ+J0S0hCtL7c7q+//oqrr74aS5YswU033dTkPna7HQaDAXZ7+xrxqaqqQmBgICorKxEQEODu5hDReSDLAtvzrDhwTPk+iw5SY2RXPXSaxvOXbA6Bb3ebUGcT6B+pxcBoXv0lcjWHLGCxn/5UptEntYnlbM40E7GpFXCafYzUwmO20WPO1CYu30NEbWlLtgWZxXYEGSVc3tcIlapjf8e0NDY8qwT8cePG4dNPP8X111+P7t27Izk5+dQDazRQqXjlg4i8m8kmsCHTjGPVSoG0/pFaDIjSNnkiq1VLSI7TYX2mBXuP2tA1VIMAA78HiVxBCIFDxXbsyLPC6nB3a7xLoEHCxYl6dPJRu7spRORFjlc7kFmsDECMiNd3+IC7Nc76bHDSpEl46qmncM0116CkpOSU+2VZxlkMohMReYzS2hPztzUqYHR3PQZG6047chQbrEZkoBqyALblWvk9SOQC5XUyfko3IzVHCbglACpJGZF23nDqjRSVZoGf9ptZf4KIWkyWBbbmWAAAiWEahPvzol1rtHik+4UXXjhlmxACtbW1uPzyyzFp0qRG9+3fvx+hoaHn3kIiIjc4XGLD1mwrHAIIMEgY3d2AIOOZr1NKkoRhcTp8t8eEwkoHjpQ7ENeJVT2J2oJdFthdYMO+IhuEADQqYFC0Dj07a6BqgzTqpi6SNXnZTJzh/qZ2PcfHnKlNZ7q+13C3QxbYkmVBUbWM3w5ZMDxeoEc419clotPbf8yGCpOAXgMM5vS5VmvxmWB2dnaT26+88som7w8NDcXXX3/domMLIfDCCy9g6dKlqKysxPjx47Fs2TKEhYU1uX91dTXmzp2Luro6vP32287tFRUVuOeee7B27VrU1dUhOTkZ8+fPR1JSknOflJQUbNy4sdHx0tLSMHTo0Ba1lYjaN1kI/HHEivT6+dtRgWpc3O3U+dunE2BQoV+EFrsLbUjLtSIyUM31K4nOUWGlA1tzLKixKOFjbLAayXE6+OrabgpHU1ksTX5yvfrjLGFsTwN+z7Yiq9SOrTlW1FgEBkU3PW2GiKjGImN3gbIm95AYHQxafle0VouD7uXLlzf6WwiBF198Ec8880yj7fv27UN6ejquvfbaFjdi3rx5WLBgAd577z2EhITgzjvvxG233YYff/yx0X41NTV49dVXsXjxYlRVVeHWW29tdH9JSQm6dOmCb775BkIIPPnkk5g8eTIyMzOh0ylXZMrKyvDvf/8bV199tfNxMTExLW4rEbVf5vr520X187eTIrUY2Mz87TPpF6lFVqkdNRZlZG5ILK8KE50Nk01g+xELskuVids+OiWbhOvCnj21SsJFXXXw00vYXWjD3qM21FhkXNRVDzXnaBLRX6TlWmGXgc7+KnQL5Xfv2Tir6uUA4HA4oNPp4HA0rl5y+PBh9OnTB7t370bPnj3PeBxZltG5c2c89dRTeOihhwAAP/30EyZOnIisrCwkJCQ49923bx9uv/12zJkzBwsWLEBiYiLeeeedZo+dlpaGYcOGYdeuXejfvz8AIDIyEkuXLsUVV1xxFq+a1cuJ2qvSWgfWZVhQaxXQqICLuurPOS28oMKONYcskCTg8r5GBPuwqBpRSwkhkFlsxx95J+Zt9+qswcBoHTNH2lBmsQ2/51ghBBDur8LoRANHsYjI6Ui5HesylHOZK/oZWzTVriNpaWx4Tu9aU/F6t27dcOONN+KNN95o0TH27NmDkpISTJgwwblt1KhRUKlU2Lp1a6N9+/Tpg7S0tEaj1KfTcEGgU6dOzm3l5eWca05EjWSV2PFTuhm1VgF/vbL+dlvMw44K0iA2WA0hgNRcC4uqEbVQhUnGzwfM+L2+UFonHxUm9jEgOU7PgLuNJYZpMa6HAVo1cLxaxk/pJlSbZXc3i4g8gM0hsC1XWZO7bxctA+5zcE7vXHMpl3PmzMEHH3yAgoKCMx4jKysLABqNaBuNRoSFhSE/P79Fz/dXQggcPHgQs2fPxq233oro6GgAQG1tLcxmM0aPHo3w8HCMHTv2lPndf2WxWFBVVdXoRkTtgyyUtNVNWRY4ZGX+9uS+bXsVd2isDhqVcjKbVcpKwUSn45AFduZb8cNeE47XrxowNEaHSX0NCPVjpVxXiQhUY0JvI3x1EqrMAj/uN6G4huuwEXV0uwtsqLMK+Okk9I9kwcVz0aqhnH/84x/O/xdCQAjRaNvJjEYjHnjgAXz11VenPWZNTQ1UKhX0en2j7T4+PrBYLK1pHgDgpZdewnPPPQeHw4EJEyY0GnHX6XT4/fff4evri6KiIixYsABjx45FamoqBg0a1OTxXnnlFTz//POtbgcReTazTWDDYTOKqurnb0doMSBa2yYVkE/mp1ehf5QWf+bZ8McRK6KDNNC3oigbUUdxtMqBrdkWVNcXSosOUmNYnA5+eo6snA/B9dkEvx2yoKxOxi/pZozsdu7TbIjIO5XXydhfpBRPGxavg4ZZRuekVd+kcXFxjf5+9tlnm933yiuvhNFohBDitCPUer0esizDbrdDoznRHLPZDB8fn9Y0DwBwzz33YMqUKcjPz8eyZcuQlJSE1NRUxMbGQqvVYsSIEQCApKQkXHLJJejXrx/eeecd/Pe//23yeHPmzMEjjzzi/LuqqoqF14i8XFn9/O2aNpy/fTq9O2txuNiOSrMyijc8Xn/mBxF1EGabwPYjVmcmiFHbUChNzWra55mPToXLehuwIdOCgkoH1mdaMDRGoHcXDf8tiDoQIZQ1uQWUlSKig3jx7Vy16h08XZB9tqKiogAA+fn5iI+PB6CkdBcXF6Nr166tPl5oaChCQ0PRr18/jB8/Ht26dcOSJUvw8ssvn7KvRqNBUlIScnNzmz2eXq8/ZRSeiLxXdqkdW7KVdHJ/vbL+tqsLnKlVEobH6/HLATMOHrejW6iGqbLU4QkhcLhEKZRmqZ950TNcg0HRulYt0UdtS6uWcEkPPdJyrTh43I7teVZUW2Qkx+naPBOIiDxTZokdxTXKFJ/kOK6+0hZafaYpyzJ69OjRZg0YPHgwjEYjVq9e7dy2fv16SJKElJSUczq2JElQq9WnVFhvYLPZsGPHDiQmJp7T83gah8xiTUR/pczftmLjYSXgjgxUY9J5rCjeJUCNriFKoJ2aa4XMomrUgVWaZPxywIwt2UrAHWxUUpuHx+sZcHsAlaRkGwyJUU62Dx5XqhfbHPzeImrvzDaBP44oxdMGRuvgq+MUn7bQ6lwBIQQyMzMbbXvhhRea3f+v63j/ldFoxL333otnnnkGsbGx8PPzw8yZM3H33XcjKCgIEyZMwF133dWiiuXz58+HTqfDsGHDYLPZsGjRIhQUFDjX896+fTt++OEHTJo0CVarFa+//jqOHz+OBx54oAWv3Hv8csAMlQQkhmkQG6xhpVfq8Cx2Zf3to/Xzt/tFaDHQBfO3z2RIjA55FSaU1srIKLajZziLklDH4pAF9h61YU+hDbIA1CpgQJQWfTproeL60B5FkiT0jdDCTy9h02EL8isc+CXdjEt66OHDk3CidqthmcZgHxV6dWZaeVs5q3fyr/N6XnzxRdxzzz2Nti1duvSUbc15+eWXYTKZcP3110OtVuOWW27BvHnzYLPZkJ6ejsLCwhYdp2vXrpg7dy5mzZoFX19fJCcnY9OmTejXrx8AICAgAN9++y3mzZsHX19fXHDBBUhLS0O3bt1adHxvUGuRUVyjBBbHqq3YprIiLkSDxFANwvxUnJNFHU55nYy1GWbUWJT52xd21SPeTYWBjDoVBkXrsC3Xih15VsQGa2DkerjUQRyrcmBrjgWVZmW0NDJQjeHxOvizUJpHi+ukgY9Wwm8ZZpTWyVi134yxPQwIOk9ZQkR0/hRVOXC4RJnvMyKeU0rakiRauXCsw+GATqdrlLJtNBphMpka7dfUtvagpQugu1ONRUZWiR2ZJXbUWE788wYYJHQL1aBbqIZXqalDyKmfv22XAT+9hEvOw/ztM5GFwI/7zCirk9EtVIOLurJmBLVvFrvAH3lWZBYrJ3IGrYTkWB3iO7FQmjepNsv49aAZ1RYBrRoY3d2AiADWpiBqLxyywA97Tag0C/QI02BEAs9PWqKlsWGbBN0+Pj6oq6trtF9T29oDbwi6GwghcKxaxuESO3LL7LArA+CQoKzJmRiqQUywGmqm9FE7IwuBHfk27DuqLHUREaBGSqLeY5bqKq5xYNV+MwDgst4GdPbniSu1P0IIZJc6sP2IBeb6Qmk9wjQYFKPzmM8itY7ZJrA2w4ziGhmSBFwYr0O3ME6TIWoP9hRasSPfBoMGuKq/D7+nW6ilsSET9dsxSZLQJUCNLgHKWqc5ZXYcLrbjeI2MwkoHCisd0KmBhBANEsM06OTD9HPyfha7wMbDFhRWKhcG+0ZoMcgN87dPJ8xPjR5hGhwqtiM1x4LL+xo5n5XalSqzjNQci7OOQqBRwgXxeoTzApNXM2gljO9lwOYsC3LKHNicbUW1RWBAlJbnD0RerNoiY3ehMlAxNNZzBinakxYH3dOmTYMkSRBCQAiBf/zjHwCUK9nk+bRqCd3DtOgepkWVWcbhYjsOl9hRZxM4eNyOg8ftCDJKSAzTomuIBgbOMyUvdPL8bbUKuDBBj4QQz7y2OChGh9xyOypMAunH7OgbwdEi8n4OWWB/kQ27C2xwCEAl1RdK66JlVlU7oVZJuLibHn56G/YetWF3oQ01FoELEnT8NybyQkIIbMuxwiEDXfxVSAjhxVFXaPHZ6MnLar344osuaQydHwEGFQbF6DAgWoujlUrBhCPlDlSYlCWV/sizIjpIST+PClRzBI68Qm6ZHZuz6udv6ySM7qFHJx/P/eHQayQMidFhS7YVuwqsiA9Rc1kO8mrHq5VCaRUm5WJ8lwAVRsTrEWBgv25vJEnC4Bgd/PQSUnOsyCq1o84qY3R3A5d8I/IyR8odKKh0QCUBw+P1zFpxkVbP6W4K53R7P4tdILtUGf0urZWd2w1aCV1D1EgM1bJSKXkkWQjszFdGXAAgIkCFi7sZvCJbQwiBn9KV+ZFxndQYlWhwd5OIWs1iF/gzz4qM+kJpeg2QHKtHQggLpXUEBRV2rM9ULngGGiWM7WGAHyvSE3kFm0Pg290m1NkEkiK1GBStc3eTvA7ndFOr6DUSenXWoldnLcrrZBwusSGrxA6zTWB/kR37i+wI8VUhMVSD+BAN53qQR/jr/O0+XbQYHONZ87dPR5IkjIjX44e9JuSWOVBQYUdUEL+WyTsIIZBT5kDaESvMNuX6fWKoBoNjdF5x0YvaRlSQBhN6S1hzyIJKk8CP+80Y012PUD/PzTQiIsXOfCvqbAJ+eglJkZzm5kptcnZnt9vx6quvnrJt3rx5mDVrFq90e5lgHxWGxuoxOFqHgkoHMovtyK90oLRWRmmtFWlHrIgNViMxTIMuAWqvCXCofamon79dXT9/+4J4PbqGel/AGuyjQq/OGqQfs2NbrhVXBnBFAfJ81RYZqTlW5wWvAINyAakLl5DqkDr5qjGprwG/HbSg3CTjlwNmXNxNj5hg7/tOJuooymodOHBMyVAaHqeDhuceLtUm6eXTpk1r9r533nkHanX7+RFur+nlZ2KyCWSX2JFZYnPO1wMAH92Jtb85b4/Ol5Pnb/vqJFzSXY9Ovt77PWOtT+8y2ZQqwAOimN5FnkmWBfYfs2FXgQ0OWSmUlhSpRb8IFkoj5btsfYYFR6sckAAkx+nQqzNHz4g8jRACq/abUVLL6W3nymXrdHd0HTXobiCEQFmdjMxiO7JL7bCeWK4d4f5K+nlcJw20ap58UduThcCuAhv21C9r0SVAhRQvmb99Jjmldmw4bIFKAq5KMsKfF7HIwxTXOLA124pyk1L3o7O/Uigt0Mi+SifIssDWXCsy6+f49+miwZAYHbMeiTzIoeM2bM2xQqsCrupvhA8LuZ61lsaGrXqH09LSWrxvZWUl1qxZ05rDkxeQJAkhvmoMj9fjukE+SOmmR2SgMsJ4vFrGlmwrvthRh81ZFhyrcnBJOWozVrvA2kMWZ8Ddu7MG43q2j4AbAOI6qRERoIIsgG25Vn52yGNY7QKpORas2m9GuUmGTg1cmKDD+F4GBtx0CpVKwgXxOgyKVka49xfVF1pz8DuNyBOYbErxSwAYGK1jwH2etGqkOzw8HMePH0dZWRnGjRvX5D4XXXQR3nrrLUyaNAn79u1DamoqunTp0mYNdreOPtLdnFqrjKwSOzKL7ai2nOhS/voT6ee+rGZKZ6nCJGPtofr52xJwQYJ3zt8+kyqTjO/2miALYHSiHrGd2t9rJO8hhMCRcge25Vphqi+U1jVEg6GxLJRGLZNdqkwFkgUQ6qvCJT0MMLLvELnVpsNmZJU60MlHhUl9DazNdI5cUr28IT632ZSRpi+++OKUfXx9ffHCCy9g//79WL9+fbsKuKl5vjoVkiJ16BehRXGNjMwSO3JKlQB8Z4ENOwtsiAhQITFMi5hgNYs1UIsdKbdj0+ET87dHd9cjxIvnb59OgFGFvhFa7Cm0YdsRKyIC1ZyqQW5RY5GxLdeK/AplDpG/XsKIBD0iWCiNWiEhRAMfrYS1Gcrc0VX7TRjbgxkSRO5ytMqBrFLle31EvI4B93nUqqDbYrFgw4YNCAsLg8FggBAC69atg0ajga+vL7p06YKKigosWbIE69atQ3x8vIuaTZ5KkiSE+6sR7q9GcqwOR8qV0e9j1TKOVsk4WmWBVq38ECeGahDiq+I8L2qSqJ+/vbs+nbyzvwqjEttPOnlzkiK1yC61o8YisLvQhiExLKpG548sBA4U2bGzwAp7faG0fhFaJEWyUBqdnc4BakzsY8SaQ2bUWARW7Tfhku4GdOYFHKLzyiErU4UAoGe4hsv6nWetCrqtVitmz56NgwcPolevXigvL8e+ffsghEBNTQ0KCgqwdetWDBo0CIGBga5qM3kJrVpCt1AtuoVqUW2WcbjEjsMldtRaBQ4dt+PQcTsCjRISQ7XoGqKGkXNKqJ7VLrApy+IcZevdWYMhsR3jiqxGJWFYrA6/ZViwv8iGbqEaBHFUiM6D0loHfs+2oqxOKZQW7qfCiAQ9+x+ds0CjChP7GLH2kDLivfqgGRd11SMhhFNoiM6XfUdtqDILGLUSBkXzgv75dlZzuouKinD11Vdjy5Ytp+xjMpkwe/ZsfPXVV1i3bh0SExPbtMHuxjnd50YIgaIqGZklNhwpc6ChrooEICpIjcRQDaKCuE5xR1ZpUtbfrjILqCTgggQduoV2vCVn1h4yI6/Cgc7+KozvZWBGCLmMzSGwM9+KA8fsEAB0amBIjA6JYRr2O2pTdodyQfVIuXJBdVC0stwc+5l3k4XAkTIHBJSioB3hArm3qTLL+G6PUjPm4m684NWWXDqnW6VSYfv27U0e+NJLL8WXX36JyspKXH755di5cycMBq79RgpJkhARqEZEoBrWOIGcMiX9vKRWRn6FA/kVDug1SrGexDAtgn04wtKR5NXP37bJyhrwl7Tj+dtnkhynQ2GVCceqZWSXOtpl4ThyvyPldmzLtaLOqvy+J4SoMTRWz2JX5BIatYSURD3+zLNif5EdO/JtqLYIjIjTQcWL7V5HFgLZpXbsLrA5i+juL1JheJyOqcseRAiB1BwrZAFEBKgQ34n/Nu7QqpHuLVu2YPXq1dBoNHjqqaec281mM7744gvceuutzm3l5eUYOnQoPvroI4wYMaJtW+1GHOl2jQqTkn6eVWJ3VskFgE4+KnQL1SAhRNPu5/J2ZE3N305JZJXbPYVW7Mi3waCVMCXJCJ2mY78f1HZqrUqhtLz6EUc/vYQR8TpEBvLiDp0fB47ZkJZrhQAQEaDGqO566Fg40ivIQiCrxI49hSeCbb0GkAVgU75S0CNMg4HRXOnAE+SU2rHhsAUqCbgyyYgAAwe02lJLY8NWBd0AEBUVhSeeeAJr1qxB//798dRTT2HRokVYs2YNevbsieLiYue+DocDH3300dm/Cg/EoNu1ZCFQWOlAZrEd+RUOyPW9UyUBMcFK+nlEIFOX2hOrQ2DT4RPzt3t11mBoDEc9AKXoyQ97Tag0C/QM12B4vN7dTSIvJwuBg8fs2JlvhU0GJAno20WL/pFaaBjw0HmWV27HxvrVKYKMEsb2NMCX9V08liwLZJXasbvQhpqTgu2+EVr0DNfC7hD4I8+GrFK7877B0Zyq4k5Wu8C3e0ww2QQGRGkxIIpzuduay4Lu/v37Y/fu3UhKSsLgwYORnp6OwsJCrF69GlOmTMHbb78NWZZx22234YMPPkBKSso5vxhPwqD7/DHblLSlzBI7yusL+wCAUXti7W8uO+LdKk0y1mWYUVk/f3tEvA6JYR1v/vbpHK1yYPUBMyQAk/oaOmy6PZ27sloHfs+xorRW+T4N81NhRLye03jIrUpqHPgtwwKzTSnwNLaHHp34PedRZFngcKkyst0QbBs0QJ/6YPuvS1seq3IgNdeCCpOyb6ivCsPjdfz9coNtuRYcOGaHv17ClUlG1kxygTYPut9//33861//giRJ2L9/vzP4vuWWW5CWlob09HT07dsX6enpAIDevXs7/789YdDtHmW1DmSW2JFdaofFfmJ7mJ+Sfh4fomFampfJK7djU5YFNocyf3t0op5zwJqx8bAZ2aUOhPqqMLEPi6pR69gcArsKrEgvUgqladXA4BgdenD0iTxEjUXGmoPKBViNChiVqEdUEKc6uJtDPpFGXmM9EWz3jdChR7jmlGD7ZLIQOHDMjl31WTUA0CNcg0HROug5Veq8KK114Md9ZggA43oaEBnIcyxXaPNCalqtFu+99x7uvPNOPPjggygsLERNTQ02btyI5ORkvPLKK41+vPlDTm2pk68aw3zVGBKjQ36Fkn5eWOlAcY2M4hor0o5YEResRmKYFp39ufa3JxNCWX96V4Eyfzu8fv3tjj5/+3SUfm9CSa2MjGI7eoQzG4BaJr/CjtQcK2rrT5jjOqmRHKuDD1N4yYP46ZUlxdZlmFFULeO3QxYMjxf8rnMThyxwuD7YbvjuMGgl9OuiRY9wTYumoqgkCX26aBHfSY0/8qzILnXg0HE7csvsGByjQ2IoL/q5kiwEtuYoNRMSQtQMuD1Aq9PLe/XqhUWLFmHp0qUoKCjAAw88gMsuuwwDBw6EWq2GzaacSFssFuj1emzfvh3h4eEuabw7cKTbc9RZZWSV2nG42I5K84lu7KeT0C1MST/30/PE0pNYHQKbsyzO4k09wzUYGqtjulMLpBfZkHbECp0amNLfh8Vp6LTqrDLSjliRW6Z81nx1EobH6xDN0UPyYA5Z4Pdsq3NOcL8ILQZFc0mx86WpYNuoldA3QoseYS0LtptTVOXANqacnzcHjtmwLdcKrRqYkmSEkRdaXcZlc7pHjBgBg8GAdevW4X//+x/++9//Yu3atXj44YfRv39/TJs27Zwb78kYdHseIQRKamVkFtuRU2Z3Vs4EgC7+KnQL0yAu+Nx+LOjcVdWvv83522dHFgIr95lRXiejW6gGF3VlUTU6lRACB4/bsSPfCpsDkAD07qLFgKhT510SeaK/rmYR30mNi7rqeXHWhRyyQGZ9sF13UrDdL0KL7uEaaNrovZdlJeV8Z4EVdln5fuoRrlQ5Z8p526mzyvh2jwk2BzAsTodenXmu5UouC7obWK1W7Nq1C8nJyQCAuro6+Pj4nF1rvQiDbs9mdwgcKXcgs8SGoqoTxde0KiAuRIPEUA3C/Jh+fr7lVygVam0O5Yd8dHc9wjh/u9WKaxxYtd8MAJjQ24Bwf76HdEJ5nYzfsy0oqS+UFuKrwgXxOhalIq90uNiGLTlWCKHUb7mku4EZPm3MIQtkFNux96hrg+2/qrPK2H7Eipz6TByDRqkz0Y0p521iQ6YZOWUOhNTXgeGKP67l8qB74cKFeP7551FYWAitVntK0K1Wq+FwOE5zBO/EoNt71FiUtb8Pl9id1TYBIMBwovo55zW6lhACe47asDNfGbEI81NhdKKeaU7nYEu2BZnFdgQZJVzez8gfU4LdIbCr0Ib9RTYIoVxkHBSjFDpi/yBvdrTSgXWZZtgcgL9ewrieBvhzjeFz5gy2C22os50ItpMitegepjlvWQVFVQ6k5licUwTD/FQYHscLheeisNKBXw9yxZPzyaVBd3V1NXr37o0HHngAs2fPBqAE2VlZWYiLiwMAqFQqyLJ8usN4JQbd3kcIgWPVSvr5kXI77PXdUgIQGahGtzANYoLUTF1rY7b6+dtH6udv9wjXIJnzt8+Z2Sbw7Z46WOzA0Fgd+nRh2lhHVlBhR2qu1XlhMTZYjeQ4Hdc6pnajok7GmkNm1FoF9BpgTHcDwpjlc1Yagu09hTaY6oNtH62Efuc52D6ZLAukH7Nj10kp5z07azAwSgcdU85bxSELfLfHhGqLQO/OGiTHcRra+eDSoPuee+7B2rVrER4ejo0bNwJQguxbb70VALB8+XJoNBoG3eRxbA6BnDI7MovtKK5pnH7eyVeFEF8VOvmoEeKrQoBBYprTWaoy18/fNinzt4fH6dCdVWjbTEaxDb9nW6FRAVP6G5mx0QGZbAJpuRZneqaPTsKwOB1ig1kojdqfOqtS0bysToZaAkZ20yOuE/t6S9llgYzjShq5M9jW1aeRuynY/qtaq4w//pJyPiRWh64hTDlvqZ35VuwutMGolXBVfyOX0j1PXBZ0r1ixAjNmzMDmzZsxePBgZwq5Wq1GXV0dbrjhBiQlJeHll19mejl5tCqTjMwSO7JK7M70qpNpVEAnn/pA3FeFEB81AowS0zXPoKB+/raV87ddRgiBn9LNKK6REd9JjZREg7ubROeJEMpI1Z95VljrC6X16qwUImKhNGrPbA6BjYctyK9Qzi2HxOjQpwsDstNpLthOitQiMdQzgu2/OlqpVDlvSDkP91NheLwewT68uHw6VSYZ3+01QRZASqIe8bwodd64JOj++uuvcdNNN+Gdd97BzTff3CiFvGEOt81mQ0lJCaKjoxl0k1eQhUCFSUZZrYzSWhlldcrN0USihloFBBtPCsR9VQgyqKDywB+u800Igb1Hbdhx0vztUYl6jsK6SFmtAyv3mSEAjOtp4BqcHUCFScbWbAuO12fpdPJR4YIELrlDHYcsBNJyrTh4XFlSrGe4BslxOl4M/wu7Q+BQsR37Tgq2feuD7W4eGmyfzCELpB+zYXeBzZly3quzBgOYct4kIQRWHzSjqEpGZKAaY3voeTHqPGppbNjiyyD33nsv3n33XSxduhQ333yzc3taWpoz8E5LS4MQAq3NWBdC4IUXXsDSpUtRWVmJ8ePHY9myZQgLC2ty/+rqasydOxd1dXV4++23ndsrKiqcqe91dXVITk7G/PnzkZSU5NwnLy8P9957L9auXYvAwEA88sgjmDVrVqvaS+2LSpLQyUeNTj5qJNZ3OVkIVJkESuscSjBepwTldhkoqZWd1YGVxwPBPiqE+JwUiBtVHv+j1pZsDoEtWRbkNszfDlNOhDrSe3C+dfJVo1dnDdKP2ZGaY8GVSUa+3+2UXRbYU2jDvqM2yELJwhkYrUOvziyURh2LSlKmUfjrVdiepwTfNRaBlEQ9Mz1QH2wft2NvkQ1mLwy2G6hVEvpF6JDQSYPteVbkljmQfsyO7DIHhsbokBCiZlB5kuxSB4qqlKkXw+N0fG88VIuD7hUrVqBPnz64/vrrG22/+eabnUH2TTfddFaNmDdvHhYsWID33nsPISEhuPPOO3Hbbbfhxx9/bLRfTU0NXn31VSxevBhVVVXOOeQNSkpK0KVLF3zzzTcQQuDJJ5/E5MmTkZmZCZ1OB4fDgcmTJyMqKgobN27EH3/8gXvuuQexsbGnvC7q2FSShCAfCUE+KnQLVbYJIVBlFiirk1FaeyIYtzmA0vpRchQ3PB4IMipBeEOKerCPymXLb7hTdf387Yr6+dvD4nTowfnb58WAaB1yyhyotgjsO2pD/yidu5tEbexopQNbcyyori+UFh2kxrA4Hfz0zCChjkmSJPSJ0MJXL2HTYQsKKh34Od2MMT06bmaVrT7Y3nfUCrOSBAC/+mC7qxcF23/lq1dhVKIBhfUp51VmgU1ZFhwqVmF4HFPOAcBqF9h+xAIASIrSsrq/B2txevmuXbtw7bXXIiIiAqtXr4Zer28yvbxBS5cMk2UZnTt3xlNPPYWHHnoIAPDTTz9h4sSJyMrKQkJCgnPfffv24fbbb8ecOXOwYMECJCYm4p133mn22GlpaRg2bBh27dqF/v3747vvvsO1116L/Px8hIeHAwD+9re/4ejRo1i/fn1L3gaml1MjQgjUWARK6+pT02sdKK2VYW2i60sAAo0SQnzVjQJxb746/9f526MS9Vw7+jzLLlX+DdQScGV/I/wZjLULshDYlmvFofo0WqO2oVAaR3iIGhTXOPDbITMsdmVEd2wPA4I6UCBmcwgcPG7D/qO2E8G2vn5kO0TTrqa+OWSB/UU27Cn8S8p5tK5DFwxLzbHg4HE7Ag3KMqLeeoHFm7V5evmAAQOwYcMGpKSk4NZbb8Xnn3/e5H4HDx6E2WxucUP37NmDkpISTJgwwblt1KhRUKlU2Lp1a6Ogu0+fPkhLSwMALFiw4IzHbgj6O3XqBABYu3YtBg8e7Ay4AWDMmDF48MEHIYTgiQy1miRJ8DdI8DeoEK90MwghUGsVjdLSS2sdMNuBCpNAhcmOwycdI9AgOQu1NYyMe/qcJSGUkdUd+TYIAKG+Kozu3nFHGdwpvpMaGcUqFFXJ2JZjxRjO5fJ6dofA+kxlBA9Q5q0OiuZcRqK/CvNTY1IfI9YcMqPKLLAq3YTRiQZEtPMaF80F2/0jtejazoLtBmqVhKRIHRJCNNh+xIoj5UrKeU6ZA0M6aMp5SY3DWd9geLyeAbeHa1Vpu4iICPz8888YMmQIFi5ceMr9hw8fxtixYzFnzpwWHzMrKwsAGgXXRqMRYWFhyM/Pb7RvSz9MQggcOnQIs2fPxq233oro6Gjnc538PAAQGxsLi8WCkpKSJueQWywWWCwW599VVVUte2HUYUmSBD+9BD+9CrEnBeImm3CmoZfVj4ybbAKVZoFKswPZpSeGx/31UqOq6Z18VdB7yAm3zSGwJduC3PplPRLDNBjO+dtuI0kShsfp8f1eEwoqHcircHDZKC9mtgn8dsiMklplfl5Koh4x/Pckapa/QYUJvY1Yl2HG8RoZvx4y44J4HRLD2t80J5tD4MAxG/YX2WCpD7b960e222uw/Vd+ehVGdzegoMKObblWVFuUlPOM+pTzjpLpIAuBrTlWAEDXEA26BLTvC03tQat/ybt27YolS5bgjjvuaBRcCyHw+uuvY+7cubjnnnvw4IMPtuh4NTU1UKlU0OsbL+Du4+PTKNhtqZdeegnPPfccHA4HJkyYgDfeeKPRc4WGhp7yPACafa5XXnkFzz//fKvbQXQySZLgo5Pgo1MhJvjEdpP1xGh4QyBeaxWotghUWxz161Uq1cD99NKJJcx8VAjxVcOgPb8/sJy/7ZkCjSr07aLFnqM2pOVaERGg9uppCx1VjUXGrweVETudGhjTw8DpGkQtYNBKuLSXAZuzlLXrt2RbUWMRGBClbRejn80F2/0jtUgI7ZgFFaOCNLgyQI39RTbsLrThWLWM7/eZ0Lu+ynl7/w08eMyOsjoZOrWynjl5vrO6fH7DDTfg008/xd69e53bLrvsMixatMj5d0srmOv1esiyDLvdDo3mRHPMZrMzIG6Ne+65B1OmTEF+fj6WLVuGpKQkpKamIjY2Fnq9HlartdH+DanwzT3XnDlz8Mgjjzj/rqqqQkxMTKvbRdQUo06FaJ0K0UEntpltAmV1jkYj4jUWUX9z4Ej5iRFxH52EkEZriatgdFGKd2GlAxsyzbA6lBOc0Zy/7VGSIrXIKrWj1qpUuh4cwx9hb1JepwTcJpuAj07CuJ4GBBk7xogNUVtQqyRc3E0PP70Ne48qgViNReCCBO/NxLI2BNtHbc5aMf56Cf2jtEgI6ZjB9smaSjnfX2RHdqkDQ2N1iO/UPlPO66wyduQr8czgGB2M53kAhs7OWeesvfbaaxg9ejSKi4sRFhaGVatWNbr/jjvuaNFxoqKiAAD5+fmIj48HoIw6FxcXo2vXrq1uV2hoKEJDQ9GvXz+MHz8e3bp1w5IlS/Dyyy8jKioKGRkZjfbPy8tDYGCgc973X+n1+lNG4YlcyaCVEBmoQWTgiW0Wu1I1vWF+eFmdjCqzQJ1VoM6qpBQ3MGpPGhGvX8LMRyud9Q+PEAL7i+z4M8/K+dseTKNWCm2tzbBgf5ENXUM1DNq8RFGVA2szzLA5gCCjhLE9DfDl54uo1SRJwuAYHfz0ElJzrPUXImWM7m7wmClaLWF1CBwoUka2G4LtAIOE/pE6xIeoO3yw/VdNpZxvPGxBxnEVhsXr291vYVquFXZZOR/rHsbpR97irP6lli9fjsTERBw+fBg6XdOjKSevn306gwcPhtFoxOrVqzF9+nQAwPr16yFJElJSUs6meU6SJDWqoj5y5Eh89NFHqKysRGCgEtGsWbMGY8eOPafnIXI1vUZCRIAaEQFqAEo6t9UhUO4s1uZAaZ2MKpMyd7yg0uEswgQABo2yrvPJa4n76s4ciNvr52/nNMzfDtVgeLz3jhq0dzHBGkQH2ZFf4cC2HAsu7WVol1f525PcMqX6vCyAcH8VLvGy4IDIE/UI18JXJ2F9pgXHqmX8tN+EsT0NHr/UntV+Io2cwXbrNaSc7zuqVDkvqpbx/V4T+nTWon+Utl2knBdU2JFb7oAEYEQC1+T2Ji0Ouk0mE7Zt24b4+HisXLkSaWlpSEhIwLp165rcf/ny5fjzzz/x1ltvnfa4RqMR9957L5555hnExsbCz88PM2fOxN13342goCBMmDABd911F66++uoztnH+/PnQ6XQYNmwYbDYbFi1ahIKCAud63tdddx3mzp2LadOm4dlnn0Vqaiq+/PJLbNiwoaVvA5HH0KkldA5Qo/NJgbjNIVBedyItvaxWRoVJhtmupIcXnhSI69SoHw0/sYSZv/5EIF5tkbEuw4LyOhmSBCTH6tAzXMMveA+XHKfD0UoTiqplZJc60DWUV8E91YFjNmzLVVIEY4PVGNlNDw0vaBG1iaggDSb0kfDbQQsqzQI/7jdjTHc9Qv08b1qU1S6QfsyG9JOC7UCDhP5ROsR1YrDdGmqV8r4lhGqwPdeKvAoH9hXZkF1qx9BY5f301vMYuyyQWv+b0buLBp18PK8vU/NafDa2ZcsW3HjjjThy5Aj+97//oba2FqGhoaioqMD48eMb7Xv77bfj888/x7XXXtuiY7/88sswmUy4/vrroVarccstt2DevHmw2WxIT09HYWFhi47TtWtXzJ07F7NmzYKvry+Sk5OxadMm9OvXD4Ayb3vVqlWYPn06hg0bhoSEBHzyyScYPnx4S98GIo+mVUsI91c3mmttlwUq6uST1hJXAnGrAzhaJeNolXzS44FOPsr64VkldmX+tgYY1d2Azpy/7RX89SokRWmxM9+GP/KsiA5Sc6kpDyOEwM4CZSQGAHqEaTAsXscTa6I21slHjYl9DfjtoAXlJhm/HDDj4m6esyKA1a6sPZ1+zAZbQ7BtVEa2GWyfG3+9Cpf0MCC/PuW8xiKw4bAFXeqrnAd6Ycr5nvo6BT46CQOiWLfF20iipRXPAIwfPx5TpkzBjBkzAADh4eHYs2cPEhIS8P333zv3k2UZ1157LfLz8+Hv79/2rXajli6ATuTJHLJAhUlutJZ4WZ0M+S/fBiG+KoxO1MPXw1PyqDGHLPD9XhOqzAK9OmswLI51KTyFLAS2ZluRWaKUIB4YpUVSZPuosEzkqawOgQ2ZFme2V3KsDr27uG/lDYtdIP0vwXbQScE2vw/alkMW2HvUhr2FNjgEoJKA3l206B/pPSnnFSYZP+w1QRbA6EQ9Yjt5xoUjanls2Kqge926dbjjjjuQmZkJSZKcQXdiYiKqq6ud+73wwgs4cuQI3nnnnXN7FR6IQTe1V7KsrBneUKjNqJXQp4uW87e9VGGlA78eNEMCMKmvASG+zFRwN7tDGWnJr1Dm4w2P55J7ROeLLAtszbUis1i54NW7swZDYs9vhomlfmT7wF+D7Sgd4oIZbLtatVlG2hEr8uuLz/roJCTH6hDr4e+9EAK/HDDjWLWM6CA1Lumu9+j2djQtjQ1bfJnkt99+A6AssTVv3jz4+/ujoqLCWZDsZB9++CGWL19+Fs0mIndRqSQE+0gI9uGodnsQGahGfCc1csocSM2xYmIfFlVzJ7NN4LdDZpTUylBLQEqi56S4EnUEKpWEC+J18NdL2JFvQ/oxZYnFkV310Lh4tNNsU+ZsHyiywVY/oyvIqKQIe3rA1574G1QY08OAvHI70o4oKefrMy2ICFBhmAennGeV2nGsWoZaBQyLY/E0b9XiX/zZs2cDAPz8/PDMM89g2LBhWLRoEQwGAwBg37592Lx5s3PE+6KLLnJBc4mIqKWGxupQUGFCSa2MzGI7unNU1S1qLMoa3FVmAZ0aGNPDwDXuidxAkpR1nf30KmzOsuBIuQO/HDDjkh4Gl6x1bLadGNm21wfbwUYV+kdpGWy7UUywBhGBauwtVNZ0P1pVX+W8izLdx5NSzi12gT+OKMXTBkRqPb4CPzWvxUF3WloaAKCwsBCxsbH49NNPERkZ6by/qKgIa9euxZEjR1BZWYldu3ZhwIABbd9iIiJqER+dCgOiddh+xIo/8qyICdbA4IITS2peeZ0ScJtsSvGbcT0N7W7NWCJvkxCigY9Owtr67JNV+00Y28PQZiOdTQbbPioMiNQihsG2R9CoJAyM1qFbqAbbcq0oqHRg71EbskrtHpVy/meeFWa7khnRx411COjctWpOd4Pk5GTcdNNNePjhhwEAAQEBqKqqct4/f/58LF++HDt37myzhnoKzukmIm8iC4GVe80oN8lIDNPgwgQWVTtfiqocWJthhs2hnDCN7WmAr44BN5GnqDTJWHPIjBqLkoVySXdD/TKcZ8dsE9hXZMPBk4LtTj7KyHZMkGcEcXQqIQTyKhxIy7Wi1qqERZGBagyL0yHA4L7v7OPVDvyUbgYAXNabq8h4qpbGhi3uSffddx+ys7MBAI899hiGDRvW7L4PPvggamtrsWnTplY0mYiI2ppKkjA8XllaJLPYjuPVjjM8gtpCbpkdvx5UAu5wPxUu621kwE3kYQKNKkzsY0SorwpWB7D6oBlZ9SsLtIbJpqQAf7WrDvuOKgF3Jx8VLumux+S+BsQGaxhwezBJkhAbrMFVSUYkRWqhkpRipN/tMWFHvhV2R6vHJ8+ZLAtszbEAALqFahhwtwMtSi+32+0ICgrC0KFD8dBDDyEwMBBFRUX4448/kJKSAgCorq5Gw6C5wWDA5MmTsWrVKowcOdJ1rSciojMK91cjMVSDzBI7UnOtmNzXwPVfXejAMRu25Spz8GKD1RjZTQ8NVwEg8khGrYTxvQ3YdFiZ470py4Iaq4ykiDMv5WeyCew7asOh4ydGtkPqR7ajObLtdTRqCYNOSjkvrHRgT6ENWSV2JMfpzmu2QvoxOypMSgbGkBiuyd0etCjo1mg0+Oc//4lLL70U1157LXx8fHDttddCCIGBAweipqYGQUFBEEJAkiTMnj0bI0aMwAcffODq9hMRUQsMjtHhSLkd5XUyDh6zu3WN2vZKCIGdBTbsKbQBAHqEaTAs/vwuSUREradRSRiVqMcfeVbsL7JjZ74NNRaBEXE6qJq4YGayykoa+XE7HA3Btq8KA6K0iApksO3tAgwqjO2hR165A2lHlJTzdRkWRAWqkXweUs5rLTJ2FSgXbofE6liLpZ1o1Xolo0ePxpo1azB27FgkJiZixowZAABZlk/ZNzU1FZmZmW3TSiIiOicGrYTBMTpszbFiZ74VcZ3U8GG6c5uRhcDWbCsy61NTB0YpVXB58k3kHSRJwtBYPfz0KqTVr+dda5ExqrsBuvpq1iarjL1HbThUfCLYDvVVRrYZbLcvkiQhttOJKuf7imwoqHTg6B4T+kVo0S9C67Kl5tKOWGGXlalJiaFcWrK9aPUZ14ABA/Dll1+irKzMuU0IAbPZ7PxblmX07t0bd955Z9u0koiIzln3MA1CfVWwycD2+iVI6NzZHcooSGaJHRKAEfE69I/iWqpE3qhXZy1Gd9dDowKOVsn4ab8JJTUOpOVa8NUuE9KPKQF3qK8yGjqxjwHRQZyz3V5p1RIGxehwZT8jIgLUkAWwu9CG7/aYkFfe+vn/Z5JXbseRcgckCRger2e/akdaVb28qRFtAJg5cyYiIyMxZ84cLFu2DMuXL8evv/6KgIAAmM1maLXtJ42R1cuJyJuV1jrw4z4zBIBLexoQEcjiLOfCbBP4rX7ZIbUEpCTqERPMkQkib1da68Bvhyww2RqfJofWp5FHcmS7wxFC4Eh9ynldfZXzqPoq5/5tkHJucwh8t8eEWqtA3wgt53J7iTavXg4oc7u1Wq3zptFooNPpkJSUhLfeegt79uzBI488grvvvhtarRZCCKhUTF8kIvIUIb5q9OysBIWpuRY45PNflbW9qLHI+CndhJJaGTo1cGkvAwNuonYixFeNiX0MCDQqgXWYnwrjeioj21Ec2e6QJElCXCelynm/CKXKeUGlA9/uMWFnvhX2c/w93V1oQ61VwFcnoX9k+xmwJEWrIuKQkBDYbDZYLBZERkbCZrMhODgYd911F5KTk5GSkoLbbrsNt99+O1QqFSRJYtBNRORhBkYphVmqzAL7i2zubo5XKq+TsWq/GVVmAR+dhAl9jAjnki5E7YqfXoXL+xpxZZIRE3obEBnIYJuUlPPBMTpc0c+IiABVo5Tz/LNMOS+vk52/x8PidNC6aL44uU+rIuKGIFqjUb501OoTqTW9e/dGYmIi5s+frxy4PtjmlxMRkWfRaSQMrU9b211oQ42l6alD1LSiKgd+SjfBZBMIMkqY2MeAICMvMBO1R2qVhCCjiuezdIpAowrjehqQkqiHj1ZCjUXgtwwLfjtkRnUrfleFEEjNsUAIICZYzYypdqpVZwlNTf8WQuDPP//EO++8gxkzZqBXr16wWCwc4SYi8mAJIWp09lfBIcO5pjSdWW6ZHb8eNMPmUCrLXtbbCF9WgSci6pAkSUJ8Jw2u6m9E3wgtJAnIr3Dgu90m7CqwtmgK1+ESO47XyNCogORYzuNur1o90t2UoqIiLF26FNOmTUNgYCDefvtt5eAMvImIPJIkSfWVUZUTBFdUYW1vDhyzYX2mBbIAYoPVGNfLAL2Go19ERB2dVi1hSH3KeZcAFRwC2FWgpJwXVDT/+2q2CfyRp1z4HhClg5+esVN71ap/WavVio0bN2L9+vWwWCzYsGEDbDYb/Pz8EBYWhg0bNmDUqFF49dVXYTKZ2lXVciKi9ibIqEKfLsr39LZcK+wOFlVrihACO/KtzoyAHmEapCTqoVEx4CYiohOCjCpc2tOAi7vpYdRKqLYIrDlkwdoMc5NTuf7Ms8JiB4KMEnp3Zlp5e9aqJcNGjBhxxjktZrMZhw8fxjfffIOpU6eisrLynBvpSbhkGBG1JzaHwLd7TKizCiRFajEomqltJ5OFwNZsKzJLlJGKgVFaJEVqOb+TiIhOy+YQ2FVgQ/oxG4QA1BKQFKlF3wgt1CoJx6od+DndDACY0NvAYpxeqqWxYasuqWzdurVF+9XV1WH37t2IjY1tzeGJiOg806olDIvTYV2GBfuO2tA1RINAFgUDANgdAhsOW5Bf4YAEYHi8Dj3CmcFFRERnplVLGBqrQ2KoBqm5FhyrlrGzwIbDJXYkx+rwZ76SPdU9TMOAuwNo9ZnVsWPHMHv2bJhMpmb3sdvteOihhzB9+vRzahwREbleTJAaUYFqyEJZu7sVCVDtltkmsPqgGfkVDqglYFR3PQNuIiJqtSAfFcb3apxy/luGBRUmAb0GGBzDDLOOoFVB95IlS9CzZ09s374dx44dw5tvvonw8PBTblFRUUhMTMSDDz7oqnYTEVEbkSRltFstAUVVMnLKHO5uklvVWGT8nG5CcY0MnRq4tJcBsVzChYiIzpIkSUgIUaqc9+miQcMEpaGxOhbk7CBafBaRn5+PJUuW4KOPPsLkyZMBKGnkL7zwAiZOnNho359++glz5szBL7/8gvHjx7dti4mIqM35G1RIitRiZ4EN249YERWkhk7d8U4Eyutk/HrQDJNNwEcnYVxPrsFNRERtQ6eWMDRWj+5hWtRaBSIDmVbeUbQ46I6OjsbOnTsbbUtISEBcXBzi4uIabb/77rsREhKCjz/+GJdccgmrmBMReYG+EVocLrGj2iKwK9+K5Di9u5t0XhVVObA2Q1mDO8goYWxPA9fgJiKiNhdoVCHQ6O5W0PnUqurlxOrlRNS+FVba8etBCyQAk/sa0Mm3Y1yFzy2zY+NhZQ3ucD8VLunBNbiJiIjo9FoaG/ISPhEROUUGahDXSQ0BIDXX2iGKqh08ZsP6TCXgjg1WY1wvBtxERETUdhh0ExFRI8mxOmhUQHGN7Fyfuj0SQmBHvhWpucqyLT3CNEhJ1EOjYsBNREREbYdBNxERNeKjU2FglLKEyZ95Vpht7W+0WxYCv+dYsafQBgAYEKXF8HgdVBIDbiIiImpbDLqJiOgUvTprEGSUYLEDO/Kt7m5Om7I7BNZlWJBZbIcEYES8DgOidJAYcBMREZELMOgmIqJTqFQShscr1csziu0ormkfa3ebbQKrD5qRX+GAWgJGddejRzhX2CAiIiLXYdBNRERN6uyvRrdQZWXJ1BwrZC8vqlZjkfFzugnFNTJ0auDSXgbEBrd45UwiIiKis+IRQbcQAs8//zwiIyPh6+uLqVOnori4uNn9q6urMXPmTEyfPr3RdlmW8dJLLyEuLg4+Pj4YOHAgvvrqq0b7pKSkQJKkRrft27e75HUREXm7wTE66NRAWZ2Mg8e8t6haeZ2MVfvNqDQL+OgkTOhjRLh/x1gOjYiIiNzLI4LuefPmYcGCBVi6dClWr16NgwcP4rbbbjtlv5qaGjzzzDPo2rUrlixZcspSNitXrsQvv/yCpUuXYsuWLRgzZgyuu+46bN261blPWVkZ/v3vfyMjI8N5S0pKcvlrJCLyRkathEExSlG1nQVW1FllN7eo9Y5VOfBTugkmm0CQUcLEPgYEGT3i54+IiIg6ALfn1cmyjHnz5uHpp5/GFVdcAQB44403MHHiRGRnZyMhIcG5b25uLlatWoWlS5diwYIFpxxr6NCh+O2336DRKC9r4MCB+OGHH/Dtt99ixIgRAJSgu3fv3khMTDwPr46IyPt1D9Mgs9iO0loZf+RZcXE3g7ub1GK5ZXZsPKyswR3up8IlPbgGNxEREZ1fbr/Uv2fPHpSUlGDChAnObaNGjYJKpWo0Qg0Affr0QVpaGq6++uomjxUREeEMuBsYDAY4HCcKAJWXlyM0NLQNXwERUfumkiSMiFdGu7NLHSiq8o6iageP2bA+Uwm4Y4PVGNeLATcRERGdf24PurOysgCg0Yi20WhEWFgY8vPzG+3b2uVcUlNTsWfPHowZMwYAUFtbC7PZjNGjRyM8PBxjx47Fxo0bT3sMi8WCqqqqRjcioo4mxFeNnuENRdUscMieW1RNCIEd+Vak5ipLnfUI0yAlUQ+NigE3ERERnX9uD7pramqgUqmg1+sbbffx8YHFYjnr46ampuLKK6/Edddd5xxF1+l0+P3337F9+3Z89NFH8PHxwdixY7Fjx45mj/PKK68gMDDQeYuJiTnrNhERebOB0ToYNEClWWB/kc3dzWmSLAR+z7FiT6HSvgFRWgyP10HFNbiJiIjITdwedOv1esiyDLu9cVVcs9kMHx+fszrm4sWLMWrUKFx11VX46KOPnNu1Wi1GjBiBpKQkXHrppfj666/RtWtXvPPOO80ea86cOaisrHTe8vLyzqpNRETeTq+RMCRWSTPfXWhDjcWziqrZHQLrMizILLZDAjAiXocBUbpWZ0kRERERtSW3F1KLiooCAOTn5yM+Ph6AktJdXFyMrl27tvp4s2bNwtKlS/Huu+/ipptuOu2+Go0GSUlJyM3NbXYfvV5/yig8EVFH1TVEKap2rFpG2hErLunuGUXVzDaBtRlmFNfIUEvAxYl6rsFNREREHsHtI92DBw+G0WjE6tWrndvWr18PSZKQkpLSqmP98MMPWLhwIdasWXPGgBsAbDYbduzYwUrmREQtJEkShsXpIUlAXrkD+eXuX7u7xiLj53QTimtk6NTApb0MDLiJiIjIY7j9rMRoNOLee+/FM888g9jYWPj5+WHmzJm4++67ERQUhAkTJuCuu+5qtmL5yT7++GMMGzYMnTp1QmZmpnO7Wq1GQkICtm/fjh9++AGTJk2C1WrF66+/juPHj+OBBx5w5UskImpXgn1U6NNZi31FNmw7YkWXQLXbipSV18n49aAZJpuAj07CuJ5cg5uIiIg8i9uDbgB4+eWXYTKZcP3110OtVuOWW27BvHnzYLPZkJ6ejsLCwhYdp6ioCBs3bkT37t0bbQ8JCUFJSQkCAgLw7bffYt68efD19cUFF1yAtLQ0dOvWzRUvi4io3eofpUV2mR01FoG9hTYMjNad9zYcq3LgtwwzbA4gyChhbE8DfHUMuImIiMizSEIIz133xQNVVVUhMDAQlZWVCAgIcHdziIjcJrfMjvWZFqgk4Mp+RgScxxHm3DI7Nh5W1uAO91Phkh5cg5uIiIjOr5bGhhwSICKisxIbrEZkoBqyAFJzLThf13APHrNhfaYScMcEqzGuFwNuIiIi8lwMuomI6KwoRdV0UEnA0SoZuWUOlz6fEAI78q1IzbUCAHqEaTAqUe+2+eRERERELcGgm4iIzlqAQYWkSC0AIO2IFTaHa0a7ZSHwe44VewptAIABUVoMj9dBxTW4iYiIyMMx6CYionPSL0ILf70Ek01gV4G1zY9vdwisy7Ags9gOCcCIeB0GROkgMeAmIiIiL8Cgm4iIzolapaSZA0B6kR3ldXKbHdtsE1h90Iz8CgfUEjCqux49wrVtdnwiIiIiV2PQTURE5ywqSIPYYDUEgK05bVNUrcYi4+d0E4prZOjUwKW9DIgN9oiVLomIiIhajEE3ERG1ieRYHTQqoLhGxuES+zkdq7xOxqr9ZlSaBXx0Eib0MSLcX91GLSUiIiI6fxh0ExFRm/DVq9A/Skn9/iPPCov97Ea7j1U58FO6CSabQJBRwsQ+BgSdxzXAiYiIiNoSz2KIiKjN9OmsRaBRgsUO7MhrfVG13DI7Vh80w+YAwv1UuKy3Eb46/lQRERGR9+KZDBERtRmVSsKIOD0A4FCxHSU1LV+7++AxG9ZnWiALICZYjXG9DNBrWKGciIiIvBuDbiIialOdA9ToGqIUPNuaY4V8hqJqQgjszLciNVcZGe8RpsGoRD00KgbcRERE5P0YdBMRUZsbEquDVg2U1ck4dLz5omqyEPg9x4rdhTYAwIAoLYbH66DiGtxERETUTjDoJiKiNmfUShgUrazdvSPfCpP11LW77Q6BdRkWZBbbIQEYEa/DgCgdJAbcRERE1I4w6CYiIpfoEa5BiI8KNodSzfxkZpvA6oNm5Fc4oJaAUd316BGudVNLiYiIiFyHQTcREbmESpIwPF4Z7c4qdaCoSimqVmOR8XO6CcU1MnRq4NJeBsQGa9zZVCIiIiKXYdBNREQuE+qnRo9wJaBOzbWgtNaBn/abUWkW8NFJmNDbiHB/tZtbSUREROQ6DLqJiMilBkXrYNAAlSaBH/eZUWcTCDJKmNjHgCAf/gwRERFR+8azHSIicim9RsLgGCXNXAAI91Phst5G+Or4E0RERETtHyfRERGRy3UL1aDSLCCEwMBoHdfgJiIiog6DQTcREbmcJEkYUj/aTURERNSRMLePiIiIiIiIyEUYdBMRERERERG5CINuIiIiIiIiIhdh0E1ERERERETkIgy6iYiIiIiIiFyE1ctbSQgBAKiqqnJzS4iIiIiIiMhdGmLChhixOQy6W6m6uhoAEBMT4+aWEBERERERkbtVV1cjMDCw2fslcaawnBqRZRmFhYXw9/eHJEnubk6TqqqqEBMTg7y8PAQEBLi7OeSF2IfIFdivyBXYr8iV2L/IFdiv2g8hBKqrqxEZGQmVqvmZ2xzpbiWVSoXo6Gh3N6NFAgIC+EGmc8I+RK7AfkWuwH5FrsT+Ra7AftU+nG6EuwELqRERERERERG5CINuIiIiIiIiIhdh0N0O6fV6PPvss9Dr9e5uCnkp9iFyBfYrcgX2K3Il9i9yBfarjoeF1IiIiIiIiIhchCPdRERERERERC7CoJuIiIiIiIjIRRh0ExEREREREbkIg24iIiIiIiIiF2HQTUREREREROQiDLrJiYXsqS2wH1Fb2r17NxwOh7ubQe3ME088gX/961/ubgYRUavwHMt7MegmrFu3DgAgSRI/zHRWNm/ejO+++w47d+6ELMvubg61E/feey+uuOIKVFZWursp1I7MmTMHr776Kr7++muUlZXxd4/a3Pfff4+FCxfif//7H3bv3u3czr5GZ4vn6t6PQXcHJoRATk4ObrzxRjz77LMA+GGm1nvyyScxdepU3HXXXRg8eDBee+01yLLMfkTn5JFHHsEXX3yBFStWoFOnTu5uDrUTjzzyCJYsWYKFCxeipKQEmZmZkCTJ3c2idmT27Nm49dZbsXTpUsyYMQM33XQT5s+fD4DnWNR6PFdvPxh0d2CSJOHo0aOoqqrCsmXLMGvWLOd2fpipJRYtWoQPPvgAK1asQGpqKt544w08/fTT2Lt3L09k6ay99NJLeOutt/Ddd99h1KhR7m4OtRMzZ87Eu+++i5UrV2LGjBm44IIL8NFHH/EiIbWZLVu24IMPPsCnn36KHTt2YPXq1Rg/fjwee+wxvPbaawDA30ZqFZ6rtx8adzeA3MdiseD//u//MGHCBFx44YVYsGAB1Go1/v3vfzs/zPxxoOZYLBbs2LEDN998MyZMmAAAeOihh/Dxxx/j8OHD6Nu3L9RqtZtbSd6mrq4Oa9euxciRIxuNcH/44Yc4ePAgunXrhoEDB2LgwIHuayR5naVLl+LDDz/EypUrceGFFwIA+vfvj88++wwA+JtHbaK0tBR+fn64+OKLodFoMGDAADz88MNYs2YNHn/8ceh0Ojz44IPubiZ5EZ6rtx8c6e7gjh8/jpEjR+KWW27BtGnT8Omnn+Lxxx8HwKtodHp6vR5PPvkkpkyZ0mi70WjE1q1bcdFFF+H+++/Hd999554Gklfy8fHBu+++i8rKSvznP/9BSUkJRo8ejRdffBEffvghHnvsMTzwwAP4/vvv3d1U8iK9e/fGxo0bcdFFFzl/1+677z6UlpbizTffBMARSDp3Xbp0wdGjR5GamgoAcDgciImJwciRI3HllVfi3Xffxdq1a93cSvI2xcXFPFdvBxh0dzBms9n54dTr9ViyZAkefvhhdO7cGXfffTfuuOMOfPbZZ/wwU7NO7kMJCQkYMWKE875nn30WW7duhcViQXJyMvbs2YM33ngDR44ccVdzyUs09CshBOLi4vDpp5/iyy+/RHh4OIxGI7744gtkZ2fj66+/hk6nw/Lly2EymdzdbPJwDX0kJSUFffr0gSzLkCQJsizDaDTiqquuQmpqKmw2G3/r6Kyc/JvYs2dPXHDBBXjzzTexYcMGqNVqHDp0CF9//TUuu+wydOnSBZs2bQLAomp0ZrIsQ6/XY9myZTxXbweYXt6BzJs3D1u3bkVJSQmuvvpqTJw4ET169IAQAna7HREREbjrrrsAAP/3f/8HAHj11VeZvkJOf+1Dl19+Obp16wZZlnH48GFs2rQJH3/8MS6//HLo9XqsXr0al19+OfLz8xEbG+vu5pOH+mu/uuyyy9CrVy/8/PPPmD9/Pl588UVn/xk5ciTuuOMOTJs2DceOHUN8fLx7G08eq6FfFRcX45prrnF+XzkcDufUl+uuuw4pKSn429/+hquvvtrNLSZvc/J31zXXXIMbb7wRL7zwAmbNmoUrr7wSffr0wdatW3HnnXfi3nvvhdVqxdKlSzF79mxotVp3N5880KefforQ0FCMGzcOKpUKDocDnTt3BgCeq3s5jnR3EC+99BJeeeUV9O3bF35+fnj33Xdx7bXXYtu2bZAkCSqVCkIIdOnSBXfddRfuuOMOfPXVV7jvvvsAMO2Omu5DU6dOxbZt26BSqRAVFYWPP/4Y11xzDXQ6HQAgJCQEPXv2ZPVpalZT/eq6667Dli1bMHjwYPz3v/91BtwNy9EFBASge/fuCA4OdmfTyYOd3K/8/f0bfV+p1Wo4HA7IsoyRI0fivvvuw7x585CVleXuZpMX+et317JlyzBu3Dh06tQJK1euxGuvvYZx48bhgw8+wLJlywAAGo0GXbp0gU6n43kVNSLLMmw2G1asWIG5c+c6MyJOro2j0ShjpTxX91KC2j2TySTGjBkjFi1a5Nz2448/iiuuuEL4+vqKzZs3CyGEsNvtQpZlIYQQRUVF4vHHHxdJSUni2LFjbmk3eY4z9aGNGzcKIYSw2WzO+202m3j44YfF0KFDRUlJyXlvM3m+1nw3NZBlWdx///1i9OjRoqqq6ry3mTxfa/vVjz/+KIYOHSpeeeUVYTab3dJm8i7N9bHJkycLPz8/sXXr1iYfd/fdd4ubbrpJWCwW5/kWUYPc3FwRGBgo+vfvL1JSUsT69etPuz/P1b0Lg+4OoLy8XMTExIi333670fZ9+/aJa6+9VgQHB4s//vhDCCGEw+Fw3n/s2DFRXFx8XttKnqk1fUgI5eTjpptuEiEhIWLXrl3nu7nkJVrbr7799lsxdepUERISInbv3n2+m0teorX9Sggh/v73v4uEhARRXV19PptKXup0feyaa64RwcHBIi0tzbl9165d4vbbbxeBgYFiz54957u55AXsdrt44403xPjx48VXX30lxo0bJ0aOHHnGwJvn6t6D6eUdQFBQEMaOHYvly5fj2LFjzu19+vTBs88+i5SUFDz++OMoKiqCSnWiS4SHhyM0NNQdTSYP05o+dPToUWRkZMBkMmHdunXo37+/G1tOnqw1/cpsNgNQ5rStXbsWSUlJ7mo2ebjW9KsG77//PjZs2AA/Pz93NJm8zOn62HPPPYeUlBQ88cQTzj5mt9tx9OhRrFu3Dv369XNXs8mDqdVqdOnSBVFRUZg6dSoeeughGAwGzJ07Fxs2bGj2cTxX9x4MujuIyy+/HFarFe+88w6qqqqc2/v164e///3vKC4uRn5+vhtbSJ6upX0oIiICd9xxBz788EOeXNAZtbRfGQwGXHHFFfj8888ZcNMZteY3z+FwAACio6Pd0lbyTq3pY4MHD8Y333yDgQMHuqm15A1uvPFGvPvuuwCAyZMn46GHHoJerz8l8BasVO6VGHR3ENdccw1GjBiBDz/8EB988EGjH4irr74aFosFP/zwgxtbSJ6uJX2oYe1kX19f+Pj4uKup5EVa068kSYLBYHBXU8mLtOY37+RCRUQt1drzKn53UUs1XAj8a+C9ceNGACyY5q0YdHcADRV/33rrLQwdOhTz58/HggULUFZWBkC5YtajRw/ExcW5s5nkwVrah7h8E7UG+xW5An/zyNXYx8iV1Go17HY7gBOBt6+vL+677z5s2bLFza2jsyUJ5ii0e3a73bnMAAA88sgj+O233yCEwIQJE5CXl4dVq1YhNTUVPXr0cGNLyVOxD5ErsF+RK7Bfkauxj1Fba+hTJpMJRqMRABqtu/31119jxYoV+M9//sOLOV6KI93tzF+voTR8iLOzszFx4kQcPHgQb7zxBl588UVcfPHF2Lp1K6xWK9avX88fBgLAPkSuwX5FrsB+Ra7GPkZt7XR96vrrr8cff/wBQEkjb9h36tSp+PDDDxlwezGOdLcD33zzDQBgypQpAE5cGWv4b3Z2NpKTkzFp0iS888470Ol0zsdarVaoVKpGV2yp42EfIldgvyJXYL8iV2Mfo7bWmj61fPnyRrUmTh7xJu/FbwQvJssyHA4H3n77bVitVvj5+WHcuHGNPsQVFRWYPHkyJk6ciHffffeUH4GTfyio42EfIldgvyJXYL8iV2Mfo7Z2Nn3qr8UdGXC3Dxzp9nJ5eXno2bMnoqKi0LNnTzz44IMYP3688/6jR49i69atuPLKK1mhlZrEPkSuwH5FrsB+Ra7GPkZtjX2KAM7p9mqyLOPbb7/F6NGjMX/+fJSWluLNN9/EL7/84twnIiICU6dO5YeYmsQ+RK7AfkWuwH5FrsY+Rm2NfYoaML3ci6lUKkRHRyMhIQGTJk2CwWDAU089hTfffBMAnFfROBeEmsM+RK7AfkWuwH5FrsY+Rm2NfYoaML3cyxw/fhwmk6lR9UJZlqFSKUkLa9aswdy5cxEUFISHH36YH2Y6BfsQuQL7FbkC+xW5GvsYtTX2KWoK08u9yD//+U9MmDABgwYNwqhRo/D7778DUK6iybIMABg7dixeeuklVFRU4M0338Svv/4KgEUYSME+RK7AfkWuwH5FrsY+Rm2NfYqaJcgrvPDCCyIsLEy89dZb4tNPPxVDhgwR/fv3FzU1Nc59ZFl2/v+vv/4qRo4cKS644ALx22+/uaPJ5GHYh8gV2K/IFdivyNXYx6itsU/R6TDo9gJHjx4VKSkp4vPPP3duKykpEYGBgeKNN95otO/JH+affvpJXHrppSI3N/e8tZU8E/sQuQL7FbkC+xW5GvsYtTX2KToTFlLzAiqVCmFhYejduzcAZc5HSEgI+vbti4KCgkb7npyactlll+Hiiy+Gj4/PeW0veR72IXIF9ityBfYrcjX2MWpr7FN0JpzT7QWCg4Nx7733ol+/fgAAh8MBAOjUqRP8/PwAwDlPpIHdbgcAGI3G89hS8lTsQ+QK7FfkCuxX5GrsY9TW2KfoTBh0e6h169bhl19+wfr166HVajF27FgAygdWo9HAarVi//79CAoKAgBnRcRvvvkGZWVl0GiUJAYWZei42IfIFdivyBXYr8jV2MeorbFPUWsw6PZAjz/+OK655hpMnz4dl1xyCW666SasW7cOwIkPLKB8SHv06OH8+9FHH8V9992H2tra891k8jDsQ+QK7FfkCuxX5GrsY9TW2Keo1dw5oZxO9euvv4qoqCixceNGkZ2dLdasWSO6du0qLr74YvH+++8798vIyBAhISFi//79QgghZs2aJQwGg9i+fbu7mk4egn2IXIH9ilyB/YpcjX2M2hr7FJ0NjnR7mPz8fAQEBGD48OGIj4/HmDFjsHLlSvj6+mLZsmX45JNPAABxcXGIjo7Gzz//jEceeQQLFy7E5s2bMWTIEDe/AnI39iFyBfYrcgX2K3I19jFqa+xTdDYYdHuYyMhI2Gw27N+/H4BSiKFXr15466234OPjg+XLl2Pfvn1QqVTo06cPHnnkEbz77rvYvHkzBg8e7ObWkydgHyJXYL8iV2C/IldjH6O2xj5FZ8XdQ+0kxLZt28TmzZvF1q1bRVVVlYiKihIPPvig836HwyGEEGLfvn2iS5cuYtasWUIIIWpqasTYsWPFjh073NFs8iDsQ+QK7FfkCuxX5GrsY9TW2KfoXDHodrOnnnpKdOvWTYSHhwuDwSAWL14s1qxZIyRJEgsWLHDuZ7fbhRBCfPzxxyIuLk7k5ua6q8nkYdiHyBXYr8gV2K/I1djHqK2xT1Fb0Lh7pL0je+ONN7BkyRJ89NFH8PPzw549ezBjxgy89957ePPNNzFz5kxIkoQZM2ZArVYDAIKCghAaGopOnTq5ufXkCdiHyBXYr8gV2K/I1djHqK2xT1FbYdDtRunp6XjxxRdx2WWXAQD69euHn376CevXr8eiRYtQXV2NBx98EBkZGbj66qvRu3dvrF27FiqVCg6Hw82tJ0/APkSuwH5FrsB+Ra7GPkZtjX2K2gqDbjcxm80oLCzE1Vdf7dwWGBiIqKgo/P7779BoNJg7dy66d++OJ554Ap999hl8fX1RV1eHH3/8EYGBgW5sPXkC9iFyBfYrcgX2K3I19jFqa+xT1JYYdLuJwWDA+++/j9DQUACAzWaDVquFn58funTpArVaDVmWccMNN+Ciiy5Cfn4+TCYTunfvjujoaDe3njwB+xC5AvsVuQL7Fbka+xi1NfYpaktcMsyNGj7EAKBSKf8UBw4cQGRkZKNta9asgRACl1xyCT/E1Aj7ELkC+xW5AvsVuRr7GLU19ilqKwy6PURD8YWqqirnBxkAHn30UUybNg1hYWHuahp5CfYhcgX2K3IF9ityNfYxamvsU3QuGHR7GJvNBn9/fwDArFmzsHTpUqSlpSExMdHNLSNvwT5ErsB+Ra7AfkWuxj5GbY19is6GJIQQ7m4EAUJZMx0TJkxAWFgYYmJiMH/+fGzevBmDBw92d/PIC7APkSuwX5ErsF+Rq7GPUVtjn6JzwaDbw6xevdq5LMH27dv5IaZWYx8iV2C/IldgvyJXYx+jtsY+RWeDQbeHEULgww8/xLBhw9CzZ093N4e8EPsQuQL7FbkC+xW5GvsYtTX2KTobDLo9kBACkiS5uxnkxdiHyBXYr8gV2K/I1djHqK2xT1FrMegmIiIiIiIichFWLyciIiIiIiJyEQbdRERERERERC7CoJuIiIiIiIjIRRh0ExEREREREbkIg24iIiIiIiIiF2HQTURE1M45HA53N4GIiKjDYtBNRETUjplMJiQmJmLnzp3ubkojWVlZWLhwofNvu90OAFi5ciV+//13dzWLiIiozTHoJiIiaseMRiOuv/56vP32283uk5OTA0mS4Ofn1+zNx8cH8fHxpzz29ttvhyRJp7299NJLpzxuxYoVSEtLAwAIITBkyBBs3boVZWVlmDt3bpu9fiIiIndj0E1ERNRONBcAv/rqq1i0aFGT973zzjsAgJCQENTU1DR727JlS7PP+/zzz8NmszV5+/vf/37K/rIs44MPPsADDzwAAPjiiy9gs9kwfPhw3HDDDcjOzsYXX3zhmjeJiIjoPNO4uwFERETUNt577z289957zr8PHDiAXr16Of+22+3YtWsXhgwZ0uhxOTk5KC0thZ+fX7PHlmUZ4eHhTd6nUqmg0TR9SiFJ0inbvvvuO4SFhWHo0KGoqqrCo48+iqVLl0KSJOh0OixZsgQ33XQT+vbtiz59+pzuJRMREXk8jnQTERG1Q88//zwuueQSVFRUOLft2bMH48ePxxtvvHHK/ucy0t0aQgi88MILGD16NIQQmDZtGlJSUjBp0iTnPuPHj8fDDz+MMWPGtNnzEhERuQtHuomIiNoRWZbxxBNP4IMPPsDPP/+MoKAg532DBg3Ct99+i1tuuQV79+7F0qVLodVqAQAVFRWNRsX/ymKxNHvf008/jaeffrrZ+1988UXn/7///vvYsWMHxo8fjwcffBAZGRlNBtZPPfUUhBAYP348Dh06hMjIyNO9bCIiIo/FoJuIiKidKC8vx0033YTs7Gx8/vnnmDJlCnbu3ImAgAAASlr3ww8/jE2bNuGyyy7D5MmT8eOPPyImJgY5OTn44osvEBQUhEsvvfSUYxcWFuKDDz44ZbvD4cCrr76Kxx57rMk23X777c7/LykpweOPP46pU6cCAC6//HJoNBp06dKlycd+9dVXSE9PZ8BNRERejUE3ERFRO1FRUYGgoCBs3boVQUFBSEpKwssvv4x//etfkGUZzz77LB5++GFER0dj/fr1+N///ueci7179248/vjj0Gg0UKvVzT6HxWLBsmXLGv19urngJ/P19cXDDz8Mi8UCs9mMyy67DJdddhnefPNNBAUF4cCBA84AfODAgdDpdIiJiTmHd4SIiMj9OKebiIionUhISMAnn3ziTCl/9dVXsXjxYqxatcq5DNddd90FAAgNDcU999wDAFi6dCmef/55HD9+HNnZ2VCpVNi3bx9qamqQlJSEzz//HDU1NXjyySdPCcjLy8sxY8aMZpcLe//99537Go1GzJkz55R2WywWVFdXIzQ0tNE2Hx+fNn1/iIiI3IEj3URERO1Uz549sWzZMlx33XUwGAxIS0uDTqdrtM/999+P33//HStXrkRgYCCuvfZaXHHFFYiLi0NWVhbS09MxduxYAIDJZIK/v3+jx+fm5uLPP//EoEGDmmzDyenlzdm7dy+6devWqAK62WyG0Whs5SsmIiLyPBzpJiIiaqf279+PDz74AP7+/rDb7Vi2bBnKysoa7TNz5kxs3LgR/v7+uPXWW7Fr1y4sXLgQAPDAAw/gkUcegV6vBwCUlZUhMDDQ+dj8/Hzk5+ejd+/e59TOzz//HOPHj2+0rba2lkE3ERG1Cwy6iYiI2pHq6mp88sknmDBhAoYMGYKuXbsiPT0d27Ztw+7duxETE4O///3v+Oqrr1BcXIzu3btjw4YNGDp0KPbs2YM1a9YgODgYTz75JLKzs/H44487j3306NFGa3V/+umnGDNmDAwGQ7PtkWW5ybW6G2RkZGDZsmW4//77G22vqqo6ZVSdiIjIGzHoJiIiaicWLVqEkJAQPPvssxg5ciSys7OxYMECBAUFoUePHli5ciU2bdoEX19f3H333YiMjMT8+fMxZcoUTJo0Cb///jt8fX1x880347PPPsNXX32F0tJSVFVVYefOnfjtt98wdOhQAEBxcTHmzZuHGTNmnNKOoqIiFBUV4fDhw0hNTW00V/tkx48fxxVXXIE5c+aga9euKCgogNVqxffffw9/f3907tzZpe8XERHR+SAJIYS7G0FERETnrrKyEjk5ORgwYMAZ95VlGTk5OYiNjUVhYSFiY2Nht9vRr18/9OrVC0uXLkVGRgYuvvhiAEBAQADuvfde/Otf/wIAvPzyy/jpp5+wfv36U0ayZ8yYgcWLF0OlUiE5ORmrVq1CcHCw8/7nnnsOZrMZBoMBNTU1eO2111BVVYXg4GDIsoywsDC89dZbuOGGG9rw3SEiInIPBt1ERETkdOzYsRaNMDscDhQXFze7xrYQAkIIqFStS6pzOBynXbKMiIjI2zDoJiIiIiIiInIRzukmIiIiIiIichEG3UREREREREQuwqCbiIiIiIiIyEUYdBMRERERERG5CINuIiIiIiIiIhdh0E1ERERERETkIgy6iYiIiIiIiFyEQTcRERERERGRizDoJiIiIiIiInIRBt1ERERERERELvL/str/HNHX/L0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "#绘制每月退货件数占比折线图\n",
    "plt.subplot(211)\n",
    "pivot_refund_order = pd.pivot_table(data=order_data_cleaned,values=\"订单号\",index=\"交易月份\",columns=\"是否退款\",aggfunc=\"count\")\n",
    "pivot_refund_order[\"退货件数占比\"] = pivot_refund_order[\"是\"]/(pivot_refund_order[\"否\"]+pivot_refund_order[\"是\"])\n",
    "plt.plot(pivot_refund_order.index,pivot_refund_order[\"退货件数占比\"])\n",
    "plt.xlabel(\"交易月份\")\n",
    "plt.ylabel(\"退货件数占比\")\n",
    "plt.title(\"每月退货件数占比\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "#绘制每月退货金额占比折线图\n",
    "plt.subplot(212)\n",
    "pivot_refund_amount = pd.pivot_table(data=order_data_cleaned,values=\"付款金额\",index=\"交易月份\",columns=\"是否退款\",aggfunc=\"sum\")\n",
    "pivot_refund_amount[\"退货金额占比\"] = pivot_refund_amount[\"是\"]/(pivot_refund_amount[\"否\"]+pivot_refund_amount[\"是\"])\n",
    "plt.plot(pivot_refund_amount.index,pivot_refund_amount[\"退货金额占比\"])\n",
    "plt.xlabel(\"交易月份\")\n",
    "plt.ylabel(\"退货金额占比\")\n",
    "plt.title(\"每月退货金额占比\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96a6b77a",
   "metadata": {},
   "source": [
    "根据每个月退货件数占比的折线图，可以发现每个月的退货率都较为稳定，均在13.2%附近徘徊，波动较小，较为健康。\n",
    "\n",
    "根据每个月退货金额占比的折线图，相较于每月退货件数占比而言，退货金额占比的波动更大一些，总体也是维持在一个健康的范围内。\n",
    "\n",
    "但是两张折线图都反映出了12月份的退货情况无论是在件数上，还是在金额上都有所增加，这需要引起警惕。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0b65146",
   "metadata": {},
   "source": [
    "## 3.4 各个渠道拆解"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9bdceab6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "#内层饼图表示各渠道销售占比\n",
    "channel_GMV = order_data_cleaned.groupby(\"渠道编号\")[\"付款金额\"].sum().sort_values(ascending=False)\n",
    "colors = plt.cm.tab20(range(len(channel_GMV))) \n",
    "inner_pie = ax.pie(channel_GMV,radius=0.6, autopct=\"%.1f%%\", pctdistance=0.55,colors=colors)\n",
    "#外层圆环图表示各渠道客户分布占比\n",
    "channel_customer = order_data_cleaned.groupby(\"渠道编号\")[\"用户名\"].count().sort_values(ascending=False)\n",
    "ax.pie(channel_customer,radius=1,autopct=\"%.1f%%\",labels=channel_customer.index,pctdistance=0.85, wedgeprops=dict(width=0.3, edgecolor='w'), colors=colors)\n",
    "\n",
    "ax.set_title(\"内层为各渠道的销售占比，外层为客户在各渠道间的分布占比\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c952b4bd",
   "metadata": {},
   "source": [
    "根据用户占比与渠道销售占比之间的关系，得知不同渠道间的客单价相似，并无明显区别，说明这些渠道间的消费者的消费能力类似。\n",
    "\n",
    "其中渠道13，渠道15，渠道9和渠道11四个渠道的销售约占总销售的一般，说明这几个渠道的销售效果较好，可以加大这些渠道的建设。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3022388d",
   "metadata": {},
   "source": [
    "## 3.5 各个平台拆解"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9af47bac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4lLlql5+fLzw9PSu88izLsvDz8xN169YVUVFRomPHjqJXr14iPDxctGjRQiQlJdmvQF5o9uzZIiQkRCxZskTMmTOn3NaAJk2aiPfff18oiiJmz55dZt8l3c3eeecd8c0335T5ue+++0THjh1LPWefPn2qtUuDEJUbgHnxz+TJk+1XIM+dOyd69uwpgoKCxN9//33Z57xaf/75pwAgdu7cWWr7Sy+9JJo0aSKE+G+g9lNPPSW8vb1Fv379ygzKHzBgQIXd8cpjNpsrHPxfYvLkyaJ+/frl3rZw4UL7lewSBw4cEA0bNhS9e/cWderUEa+88opQVdV+u9VqFa+++qrw9fUVv/32W7nPWx0tFYsWLRIAxIIFC8o8Zty4cWLIkCEVPueGDRvskw+UyMjIEFFRUUKWZQFAjBkzptwuiRcr6SZY0pp5YUtFSReriRMnlnncPffcc8nPgKenpwgNDRVNmjQRbdu2Fd26dRMdOnQQOp3O/nu9sKXCarXaW4kvtHLlylJ/3/JaKi50NceJdevWCQDi3nvvvaLflRDFA7cff/xxIUmSeOqpp0rdNmnSJNG4cWORnp4uTCaTMJlM4rHHHhM33HCD/d8lP1eyP1c7ThA5G7ZUkNPJz8/HihUrUFBQgNmzZ2PChAkV3reoqMg+WHn8+PHlTr15sSeffBKfffZZhbf//fffEEKge/fuFe6zZJCqLMsYNGgQgOKrcatXr8aPP/6IP//8EyEhIejXrx+WLVuGBx54ACtXrsSQIUPQvXv3Uq0DF/r888/RoUMHbNq0CXfeead9e25uLubPn4/vvvsOvXv3LvUYHx8f/PDDDwCABg0awM/PD/7+/vD19YWfn1+FgxKPHj2Kvn37YsOGDZe8Kjx8+HCcPn0abdu2xWeffYZJkybZb7NarTAajZBlGePHj8eIESMQFBSEs2fPokmTJvZBrmPHjkWTJk3KPLenp2e5U5N+8MEHeOaZZ0pt27t3L3r06AGr1Vrm/hdeobdarWWmKk1ISABQPFi2vNda3lVJUc6g2jlz5sBqtaJTp06oW7cudu3aZR9wX13MZjOeeeYZjBgxAvXq1cOjjz6KqVOnwt/fH4sWLcKAAQNK3X/48OG49957ccstt6Br165YvHixfTB7yecjNjYWTZs2vaL9Z2VllTsBQIk1a9Zc8rMB/DeI++DBg7juuuvw1FNP4a233sLZs2cxevRorF+/Hu+88w5iY2PxwQcfICAgABs3bix3EH6JzMzMyw7CBYoHdV8sJSUFkyZNQocOHXDnnXfi7NmzMJvN9ttzcnJQUFBQ5vlL3hcXDhY+efIkfvzxR8ydOxeJiYm4+eabcfToUSxYsAAZGRkYNmwY+vTpg1atWpXbKjl48GCMHz8ey5YtKzNFcsmEEV9++WWZxz333HPo1asXIiMjERgYWOoz7ufnB1kuO0O8zWbDrbfeirlz51bYspSXl1dqMHpBQUG597ucKzlO9O/fH8uXL7+qiTDeeustfPHFF7j77rvRpUsX+/affvoJ33zzDQDYB/RfyMvLq9S/u3fvjh07dpSqyZWPE0TOiKGCnM7LL78Mi8WCqVOn4uGHH0ZsbGyFM8jk5ubam8M//PDDS85iUuLCpvvyrF69Gg0aNECbNm3w2GOP4e6770avXr3st18YZFauXIlt27Zh+/bt2LVrFwoKCtC7d2988803uOuuu+Dl5YWUlBTMmTMHv/zyC2bOnAmguIm8YcOG+Pbbb9GjRw/7c4eGhuLEiROlmviB4m5Ex44dqzAgjBkzBnl5efYvRavViqysrEvOitW0aVOcPXsWvr6++OuvvwCgzGw4JbNERUVF4dNPP8UTTzyB5s2bY+DAgQCKm/Y9PDxQVFSE5ORk5ObmAoC960RJN4ihQ4fauz9cKDMzE8HBwWW2y7JcpgtFSXC4ePvFEhISKuzWMWrUqHK3W63Wyz5vCVVVcfvtt+Ozzz4rc+JSHbZu3YqEhASsXbsWaWlpWLlyJf7++288//zzOHnyZLnrp3Tu3Bnbt2/HjTfeiEceeQS7d+8G8N/no0GDBlfcRfDi996Fzp49i+joaEyZMgW7d+/GrFmz8OWXX9p/dyWhouTz0bFjR+zevdveBS4gIABTpkzBE088gX79+gEAOnTogDfffBN16tSpcL8mkwnfffcdvvvuuyt6DRdSVRX33XcfUlNT0alTJwAVd3u8+H1jtVpx+vRprFmzBtu3b8f27dsRFxeHxo0b47777sMDDzyAyMhIKIqCJUuWYO7cuXj++edRVFQEDw8PNGrUCHfddRfefvvtUs87ffr0ct8706ZNQ1FRUbnvxY4dO6Jjx444deqUfUHEkrUsKlozIyAgAIsWLSr3s1eivJnFKrroUaKyxwmg+FiQn5+P48ePAyieheu+++7D+vXry7wHhgwZAh8fHwDFM+GV2LBhAx566CE0btwYQUFBWLx4sf22t956C8eOHcOCBQvs2z755BP7Z6KEqx8niJwRQwU5lU8++QRffPEFPv30Uzz11FNo1KgRxowZg+TkZPtVqQtlZGTY+7CGh4eXmj61MjIyMrB48WI88MAD0Ol0kCQJgwcPxrJly+x9di8MFbNnz8bu3bvRqVMnTJ48GTfddJO9hri4OPvzDh8+HMOHD0diYiK2bNmCnJwcmEwmREVFXXZay1dffRWvvvpqubddOJXq6tWrL9nP/WLr168vM5VtyRc9UNy3+5NPPrH/+9FHH8W6deswZswY7N+/H/Xr17dfcdyxY4f9JBEAbrjhBgDARx99BKB4UcDyThpXrVqFVatWldn+/PPP4/nnny+37op+XxdOQQoUT1farl27cu974f5vuummS97nYkajEd9+++1VPeZq9OvXD/PmzUOTJk3QpEkT7N+/H2PHjsUjjzyC5s2b29+HF2vUqBG2bNlSKkiWfD70en21XCn9/vvv4eHhgeHDhyMjIwO///47EhMT8fvvv8NgMNhPpiVJwsmTJ7Fu3TrExcXhxIkTOHToEOLi4tCuXTs89NBDuOuuu5CSkoJFixbhiSeewKlTp+Dp6Ynw8HAEBgZiwIABmDZtGoDicPThhx9W+J640K5du3DffffZr9w//fTTWLduHa655hr7fS5ukRg/fjySk5PLfS/GxMTglVdeQY8ePdC/f38MGjTIHk4sFov9udq2bYupU6fijTfewNatW5GYmIjo6Gjcc889GDZsGJYvX37Jui91HChp+QOKA+SVtiaMGzcOc+bMueR9Nm/eXOq9sX79+sv+nit7nCjh6+trv+q/c+dO6PV69OrVq0zLjqqq9lBRYvv27bjlllswbtw41KtXD6tWrSrVCurv7w9PT89S2wICAip8La56nCByRgwV5BQyMjLw5JNP4ueff8bkyZPx1FNPASi+YiTLMu644w4UFhaWGcB89OhRtGrVCtdeey327t17Vfss76rThx9+iPz8fHvT/RdffIGMjAzceuutWL16NXr16oXc3Fz7F92CBQsgyzLWrl2LQYMGYerUqZfdb+PGje2rxyqKUuoL+mIDBgzA6NGjMXHixHJvL6/lorzm+Aulp6cjLCys3NsubN6vW7dumdtnzJiBcePG2VfzLioqgpeXF/r27QshBLKzs8t0f3r++efRo0ePcrs/xcbGljmRmzBhAt55551SLTiXIstyuV0/XJUkSaUGDAcGBmLixIlYsWIF3n777UuefAYHB9tbfrKzs5GYmIjTp09fNrhe7OI1FoDi0PbFF19g9OjRCAsLQ1hYGFasWIH+/fvj7rvvxq+//lrqs+Hl5YUffvgBTZs2RZs2bTBmzBj06NEDERER9uds0aKFPYBmZWXh6NGjOH/+PBISEuy/AyEEUlNTL3v1vES3bt3sJ/q5ubn46aef8NVXXyE6Oto+0P1qDB06FNnZ2ZBlGQ0aNMDs2bOv6HHr16+3r1czY8YM+2fmYtOnT8eyZcsuuSr2xa999uzZGD9+/CX3P2zYsCuqMzQ0tFTgr2hdjAtV9jhRnqNHj6Jly5bldhUzmUxlQsXu3bvRq1cvfP3112Xeo0SkLYYKcgpTpkzBwoULy70aedttt+G7777D22+/XWYhpAMHDqBPnz6YPn26vetFdHQ0RowYgQkTJthnEDp16hSaN29e6uTq4kARHx+P6dOnY+zYsWjRogWA/2ZsmTx5MsLCwmAymWC1Wu1fdBefzF6uefz7778v9UWo0+kuOcuIwWBAaGjoFc9E4mglJ5JA8VVEs9l8RU37l+rP37Fjx1L//uWXXy55gnWxyZMnY/r06Vd8f0d5+OGHcdNNN5UKvrt27UJWVhaGDBlS6eeNj4/HQw89hEGDBuGOO+644scdOHAABoMBkydPxl133WXf/txzz2Hjxo3466+/EBERAavVivj4eERGRtrvU16XtLfeegtFRUWlWs26du2KJUuWYOPGjdDpdMjJybF/Nho1amQP+o899lipGi7l4hanmJgY5Obm2j+TV8Pf3x979uxBs2bNyswmdjUu/Jx/9913ePDBByu8r81mK3OCfOFsZxcLDQ2FwWDQ7DNeXhegKw1wFbnS44QQAr/++itGjBhR7vPk5+eXCRVPPPEEJk6ceMXdkJxNeccJotrCNT+VVOt88skneOqpp0pNoXihCRMmYPTo0Vi7dq19W1paGrZs2YI333zT/qWdnZ2N4cOHo2/fvpg+fTr0ej2KioowcOBA9OrVC3PmzCn3ilhBQQFuvfVWGI3GMq0NBoPBPhaipO9yRVNiupOSLhgVjfM4dOgQ8vLyAABr164t90Rl8eLF+PXXX8tsf/PNN/HSSy9dtoYHHnjgakqulDNnzuDDDz9Ex44dL7kS78qVKxESElLqZGHSpElo3bp1pUNFcnIyBg8eDJ1Ohx9//PGqWhwWL16MXr16ISgoyH71eebMmVixYgVWrlxpHyc0Y8YMvPTSS1i6dGmFqzDPmzcP06dPx/PPP4+WLVuWum3AgAH2wePZ2dkVfjYu1xWnosHkmzdvhq+vr73L0dVq1qxZpR7nLlasWFHm917eMbKyLnWc+PXXX3Hu3Dncd999ZW4zm80wm83lDpi+1BiREkVFRTAYDJBl2d61zpGqcpwgqi0YKsgpBAYGXnYAta+vb6muPXPnzkVERIS9+0RSUhJGjRoFX19fLFq0yH4ly2g0Yvny5Rg0aBCGDRuGxYsXlzroWywWjBkzBgcPHsTvv/9+yat0JVdeGzduXNmX6nAlXasqcqnB2xUNwCxPYmIigNLdJQoLCwEU92NftmyZvatIs2bNyu3+VNHg3PIGal9JvdWhZBDszp07MW3aNCxatAjNmjXDXXfdVe7MQkDxCVBiYmKp9Qny8/Nx8OBBvPzyy5Wq48CBAxg+fDgKCgqwcePGcruZVKSwsBC//vor3njjDfu2WbNm4bHHHsNPP/1Uagaphx56CCdPnsSgQYPw22+/4ZZbbin1XBs3bsSDDz6Ibt26Xba7yb59+6r9szFnzhzceOON5a7BURlJSUllxiTk5eWhsLAQp0+fLrVdp9Nd8axZNSk9Pf2yn/OS9UYqIkkSIiIi0Lx580uOt1FVtcznrKrHCaD4osOjjz6KsWPHlprVqcThw4cBVD4UzpgxA08//TR0Oh0URcGnn35aqeepSHUdJ4hqE4YKcnqbN2+GwWCAl5cXli1bhvDwcGRnZ+Pdd9/FE088AVmWERcXZ18QzGg0IiwsDIqiQFEU+8EfKD6huOWWW7Bs2TJ4e3sjJiYGd955J/bs2YPPPvsMt912m/2+GRkZmD59OoKCghAYGIi0tDRMmzYNDRs2LDXo80JXcoXP0YGkKidBlxqA+cgjjyA4OBj9+vVDSEgI3nvvPXh5eZVa3K5kFqmUlBRs3bq1zFVtAPjtt99QWFgIvV6PWbNmlTuI8lKD0y82efLkcrdX1Op1ORs3bgQA+8Dc5cuXY/DgwZAkCX/99RfMZjMWL15s7zaiKArmzp0LVVVLzaSzc+dOeHh4VKqV4vPPP8eUKVMQGRmJf/7556pPrD7++GOYzWb7tMSPPvoovvnmG0iShAceeADjxo2zfz4uNGrUKCxcuBC33norAODTTz/FCy+8gMjISPz111+lrhAvXLgQMTExCAoKgoeHB9asWYM9e/aUOzsVAPz4449XNOXzhdatW4eNGzdi3bp1V/W4S5kwYUKF3esuPtkLCAgoNd0qUBzCHnrooWqrpzIuNZHBhcaNG1fhbTqdrtyFJPPy8nDixAkYjUZYrVasWLGizAWBqh4nfv31V0ycOBEtWrSwT8CxZ88e5OfnIygoCEVFRXjuuefQpk2bSx7PvL29K7wY9eCDD2LIkCFQVRWBgYEVXizS+jhBVJswVJDTe//997FmzRooioKQkBB8+OGH8PLyQs+ePfHss88CKD5RnzZtGiIiIhAcHGxfn8HLywsGg8HeDB4fH48RI0bg4MGD6NSpE2644QZkZGSUO/DR19cX7733HiwWC4DiwNClSxdMnz69wjnWT58+fckrqr/++mu5s1hVp8tdoczIyKiwj/elBmD6+/tj6tSp9u5hoaGh+O6770p1d7n33nthMBgwfvx4SJJU5oQMKO4KtWTJElitVoSGhuKLL74oc59XX30VU6ZMueTrAFDhAHYAWLp06WWvCG7ZsqXMCWL37t2xefNm/PDDD6WmsQSAQYMGYfDgwbjjjjtgs9ns2/39/fHSSy+VmkVm69atGDx4cJk+4VeicePGmDhxIt5///1LdqWoSNu2bfHSSy/Zrw4//PDD6Ny5Mxo2bIiAgAD4+PjA29sbHh4e8PDwgE6ngyzLeO211zBnzhzceuut+OKLL/DMM8/guuuuw59//llmLYAjR47grbfesv87LCwML774YoV/k3vuueeSU8LGxcWVGVfw/fffY9CgQRXOeFUZ5c3wdDWmTp1aag2ZiymK4vA1CWbOnIl77733kve58ALJ1SgoKED37t0hhIAsy2jTpk2ZgF+V48Tw4cOxdOlS3Hffffjqq6/s3Zs2bNiA//3vf7DZbNDpdLjmmmswf/78S7ZGTpkypcLjhK+vb4VTxl5I6+MEUW0iictNFUPkQPn5+Th//nylBikKISrV/cVqtdpbFJYvX44GDRqUGSx88f2tVis8PT1r1SxDFyoqKkJ6evolB5QCxSdMJpMJiqJccppGLQkhYDabYTQaK909ymazuexA0BKV+XwIIaCqKnQ6HYqKivDdd99h0qRJFf4uSn7XABzSZz0rKwt5eXlo1KhRtT83XVpJC++Fx7zqOE7s27cPFoulwtndVFWFEKLaurtVhMcJourHUEFERERERFVSOy+7EhERERFRjWGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICIiIiKiKmGoICJyIjk5OfDy8kK3bt3K3NakSRNIkgRJkhAUFIT+/ftj165d9tvfeOMN++1GoxGtW7fGZ599BlVVa/IlEBGRG2KoICJyIgsXLoSPjw92796NkydPlrn96aefRnR0NJYtW4agoCAMGDAAcXFx9tsbNWqE6Oho7N69GxMnTsSLL76Izz77rAZfARERuSOGCiIiJzJ37lzceeedaNSoEebOnVvm9uDgYERFReH666/H/Pnz4enpiV9//dV+u8FgQFRUFDp06IAnn3wSDz/8ML7//vuafAlEROSGGCqIiJxEXFwcNm/ejNGjR2PUqFGYN28ehBAV3t9oNCIyMhLnzp2r8D6tW7e+5O1ERETVgaGCiMhJzJs3D+Hh4ejduzfuuOMOe8ioiNVqxdmzZ9G0adMK73Pq1KlL3k5ERFQdGCqIiJzEvHnzcNttt0GWZXTv3h1NmjQptwsUAKSmpmLy5MkQQuC+++4rc3tRURH++OMPzJw5E88++6yjSyciIjfHUEFE5AR2796NEydO4LbbboPNZoPNZsPtt9+OhQsXoqioyH6/N998E0ajEREREdi/fz/Wrl2LsLAw++0xMTHw9PSEt7c3HnroIUydOhXjx4/X4BUREZE70WtdABERwd4iMWjQoDK3LVu2DKNHjwYATJ48GZMmTUJQUBDCw8PL3Ldhw4ZYvXo1jEYjGjVqBJ1O59jCiYiIwFBBRKQ5m82GBQsWYPz48Zg8eXKp2+69917MnTvXHipCQ0PRsmXLCp/LYDCgVatWDq2XiIjoYgwVREQaW7VqFdLS0vD444+jc+fOpW6bMGECXnnlFaSnp2tUHRER0eVxTAURkcbmzp2L1q1blwkUQHFLhaqq+OWXXzSojIiI6MpI4lKToBMREREREV0GWyqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhKGCqIiIiIiKhK9FoXQEREV0cIAUUVUEXxv2UJkGUJsiRV/36EgBCAEIAkARIAWZIgy9W7LyIicm0MFUREGlLU4oAgy4BeLtt4XGRVUGCxodCsIK/IihyTDblFVuQX2ZBntiG/yIZ883//LrQosNpU2NTiQKCoAjZFQLUHEfFvOJDsIQEAJEmCTpbgZdDBx6iDl0EPbw8dvI264v8a9Pb/9zLo4WvUwddTDx8PPXyMevh7GRDgZShTv1VRIQSglxlEiIhqM4YKIiIHsSoqgOITaumCVgSboiI934KkHBMSsk1IzTUjObcIyTlFSMkt/skssKDAokApaY5wAXpZQoivB8L8jAjz9Sz+b8mPrxF1AjwR4W9EiI8RXh66Uo+1KipkCdCVE6yIiMj5SUII1/nGIiJyMiVX/w26/06GswotOJ2ajzNp+UjOKQkLZqTkFiE5twhZhRa4+5HX20OHUF8jIvyNaBzigyYhPmgS4o2oCF80DvYpFTqKA0dxSwoRETknhgoioitw8YmtTVERn1WIU8n5OJ2Wj5i0fMSkFeBMej5yTTaNq3V9Yb5GNAn1Lg4boT5oGuqDqHBfNAr2hqehOHCUdOm6MNAREZE2GCqIiC4ghIDtghPVfLMNJ5NycerfloeYtAKcScvH+SyTS3VNqk3C/IxoGuqDFuG+aFs/AB0bBKJ5hC8MOrn476cIGPQMGkRENYmhgojcmlVR7QGiyKrgSEIO9sdn4/D5HBw8n424jEKNK6QrYdBJaB7uh7b1/P8NGgFoXdff3qphVdQyY1uIiKj6MFQQkdu48MTSYlNxIjkX+89l49D5bBw6n4Mzaflg40PtIUtA01AftK0XgLb1/NGhQSDa1w+Ar6e+TIsUERFVDUMFEdVaF7ZCRKfmYffZLBxOKA4Qp1LyYFV4+HNHjUO80a1pMHo0DUGvqFDUCfAEUPr9QkREV4ehgohqjQtPCmPTC7A5Oh3bzqRj59lMZBZYNK6OnFX9QC90jwxG96Yh6BUVggZB3gAYMoiIrgZDBRG5LJuiQvdvd6bEbJM9RGw/k4HUPLPW5ZGLivA3onvTEHRvGoxeUaFoEuoDgCGDiOhSGCqIyGUoavFq0LIkIT3fjM3Radh2JgPbz2TgfJZJ6/Kolgr19UC3psHoGRmKQW0jUMffs9R7kYiIGCqIyMnZFBV6nQybomL7mQysOZaCrafTEZNeoHVp5KZaRvhhQOtwDGoTgY4NAyFLkv19SkTkrhgqiMjplHQzKTDbsO54CtYcS8GGk2nIN3NROXIuwT4e6NsyDANbR6BvyzB4e+jZTYqI3BJDBRFpTggBRQjoZRmpeUVYeTgZfx9Lwc6zGZyhiVyGQSehW9NgDGgVgSHt6qB+oBe7SRGR22CoICJNKKqABECWJZxKycPKI8n4+1gyjiTkal0aUbVoFuaLAa3DMaRtHXRpHMSAQUS1GkMFEdUYIQRUAehkCXtiM7HicBLWHEvhIGuq9eoGeOLWjvVwW+cGaFnHj2MwiKjWYaggIocrOYGKTS/Ab3vi8eeBRCRkM0iQe2oe7ovh19TH7Z3ro26gFwMGEdUKDBVE5BAlJ0o5Jiv+2Hcei/cn4ND5HK3LInIqnRsFYvg19TGiU30EeBkYMIjIZTFUEFG1UVQBWQJsisDfx1OwaN95bDyZBpvKwwzRpehlCb2iQjGiUz3c1K4uPA06BgwicikMFURUJReOk9gbl4WFe+Kx4nAScos4/StRZXgaZAxsHYHbOzdAnxZhECj+fBEROTOGCiKqlJKrqAlZJizYfQ6L9ydwwDVRNasb4Ik7uzbE2O6NEeZnZOsFETkthgoiuiolU8H+cyIVP22PxebT6eBRhMixdLKEvi3DMLZ7Y/Rl6wUROSGGCiK6LEUV0MkSMgssmLcjDgt2nUNiTpHWZRG5pboBnrirWyPc26Mxgn08oKgqdDJbL4hIWwwVRFShkq4We+OyMGvLWaw5lswVromchEEn4ca2dTChV1N0bhzErlFEpCmGCiIqQ1EFVCHw5/4EzN4Wi6OJXOWayJm1qeuP+3o2xsjO9WGQZUgSIHHlbiKqQQwVRATgvy5O6flm/LgtFvN3nkNGgUXrsojoKvh76TG2W2M83DsSgd4GCAHIHHtBRDWAoYLIzdlUFXpZxqmUPEz/5zRWHkliFyciF2fUyxjVpQEe7RuF+kFe9osGRESOwlBB5KZK+l8fOp+Nz9ZG458TqVqXRETVTCdLGNquDib3j0KrOv4cd0FEDsNQQeRmSk4qdsRk4It10dh2JkPrkoioBvRuHorH+kehW9MQhgsiqnYMFURuouQkYv2JVHz5TzT2ncvWuiQi0kCnhoF4tF8zDGpTh+GCiKoNQwVRLWdTVMiyhFVHkvHV+tOcyYmIAADNwnwxqU8kRnZuAAEBPde6IKIqYKggqqVsigpJkrDkQAK+Xn8aZ9IKtC6JiJxQ3QBPTOzTDGO7NwIAtlwQUaUwVBDVMjZFBQAs2B2PGRvP4HyWSeOKiMgVNAjywrODWmB4p/pQVcFwQURXhaGCqJYo6Rv954EEfLT6JMMEEVVKywg/TLmxJQa0juCYCyK6YgwVRC6uZP757WfS8c7y4xwzQUTVonOjILw0tBWubRLMdS6I6LIYKohclCoEZEnCyeQ8vLv8GDZFp2tdEhHVQn1bhOHFoa3Qqo4/wwURVYihgsjFCCEgAKTmmvHBqhNYciAB/BQTkSNJEjCsfV28cFMr1A/0ggAgSwwXRPQfhgoiF6KoAoUWGz5fF4252+Ngtqlal0REbkQvS7iza0M8PagFgr09ILPVgoj+xVBB5AJsigohgB+2nMXXG08j12TTuiSqQfmH1iBj5Reltvl1vhnBgyYBAPL2r0DOzkVQC7LgUa8VQm56AobAOmWeRwgVOdt/Q/7B1VALc6EProfA6+6Gd8vrAACqpQiZq6ej8PQu6HwCEDxwIrwiu9gfnzz/Rfi2GwDfDoMc+GrJFXgaZDx0QyQe6x8FnSRxMDcRMVQQOTObqkIvy/h9bzymrTmFxJwirUsiDeTs/AOFJ7ci9JZn7dtkow903gEoOLEF6X99gpAbH4chtBGy1s2EWpSPuvdPhySVPtErPL0TuTv/QEDPO6DzCUL+kXXI27sMdcZ+CGP9VsjeMh/mxBMI6jMO5sSTyN7yMxo8Ng+SJCH/8DrkH1yNiLEfQGK3F/pX/UAvvDasDYa0q8PxFkRuTq91AURUVknWP52aj/8tOoz98dnaFkSaUovyoPcLgSGoXpnbcncshN81N8G3XX8AQMiNjyPx+0kwnzsCz8YdSt3Xo05zRNz9HiRZBwAIjoiE6cxuFJ7eAWP9VrAknYJ/l1vgEdEMHhHNkL3lZ6imXEDWIXvTjwi/4y0GCiolIduER+btxQ3NQ/H2iHZoFOzNsRZEbortlUROxqaoKLQoeGPZMdz8xRYGCoJalAfZy7+c7fmwpJwp1UXJENIQOt9gmBNPlLm/3jfYHihKSHoPQC0em6PzC4UpZi+EqqAo/gggSZC9/JG9cQ68W/eGR1iT6n1hVGtsjk7HoGkb8cHKEyiyKvZFOInIfbClgshJlHQdWH44Ce8sP460PLPWJZGTUE15KDy1HQXHN0IfEAGftn3hf+0I2HJSAAD6gIhS99f5hcGWl3HZ5zUnnoQ1LRZBfScAAAJ6jkbKr68i76MRkDy8EDrsWViSo2E6sxf1Hviq+l8Y1SpWReDbTTFYciABL9/cBrd2rGfvwklEtR9DBZETUIVAfFYh/vfHYWw/c/mTQXIvAdePRUDPOyEUK4riDiJny3yoBTnwat4dACAZjKXuLxmMgGK95HOaE08iddHb8G55vb2lQx8QgXoPfQslLwM6n0BAlpH849MI6v8ATGd2IWfbrxCqgoDr7rJ3tyK6WEquGU/8sh/zd8bh3RHtERnmAwDsOkdUyzFUEGnIpqhQhMDna6Px3eYYWBXOm0BleYQ2sv+/sV5LCFVB7s5F8G51PQBAKBfNBmazlAkaF8rbvwKZ676Db7v+9hmkSkiSBL1/KAAgd+8yyF7+8AhvitTf30SdMR9AtZmRPO85eDbuAL1faDW9QqqNdsRkYshnm3Bvz8Z4bnBLGPUyZ4kiqsX46SbSgKIWh4cNJ9Mw4JON+HrDGQYKumIedaIgrEXQ+QQBAJS8tFK32/LSoQ8oO6UsAGT98wOyNsxG6NAnEXLj45B05V9bUvKzkLPtVwQPmoii2APwiuoGnW8QDIF14NmgLSxJ0dX7oqhWsqkCs7fGos9H6/HnwUQA/x3/iKh2YaggqmGKKpCSW4QHftyNB3/ag/NZJq1LIhdjSTwF2dMXOv9Q6AIiYIo9YL/NmpkAJS8dnk06lnlc4eldyN33FyLufAc+bfpech+Z67+H3zU3wRBcH8JmAVTFfpuwmoEKwghRedLzLXj2t4O474edSM83M1gQ1UIMFUQ1xKaqUFWB7zbFoP8nG7DueKrWJZGLyPx7Bkwxe2FJjUHurj+Qu2sR/HuMgiTJ8O86Anl7lqLgxBaYk6KRsfJzeDXrap+pKX35NOTuXQYAKDi2Eca6LSB7+cGalfjfT3Zyqf2Z4g7CkngKAT1HAwCMDdqg4PgmmGIPoODkVpiTTsFYr2WN/g6odtgUnY4Bn2zEr7vPAQAUlbNEEdUWvNREVAMUVSAhy4SnFhzgFLF01VRrEdKXfQyhWKAPqo/gIY/ZB0r7dR4GtTAHmWu+hlCs8I7qjuBBE+2PtWbEQ+cdCABQCrJgPn8UiTMfLvX8spc/Gj4xHwAgFCsy13yD4IGPFE83i+JxHP7XDkf60g8hG70RevPT0JUzxS3Rlcg32/DS4iNYcTgZH4/uiDA/IxfNI6oFuKI2kQOVTBM7a8tZfLj6BIqsvCpHRFTCx0OH/w1tjXt6NIaiqtBx+lkil8VQQeQgJWMnnvntAHbEZGpdDhGR0+rZLASfjO6ICH9PtloQuSiGCqJqVtI6MX9nHN5dfhwFFuXyDyIicnPeHjq8eFMr3Nezif04SkSug6GCqBrZVBXZBVY8u/AgNp5Ku/wDiIiolB6RwfjkjmtQh60WRC6FoYKoGqiqgCxLWLw/Aa8vPYJck+3yDyIionJ5e+gw5cZWGH8dWy2IXAVDBVEV2RQV+WYbXlh0CKuPpmhdDhFRrdG3RRg+u+sa+Br1XI2byMkxVBBV0ZpjyXhx0WFkFli0LoWIqNYJ9zPii7s7oXvTYEgSWyyInBVDBVEl2FQVEMA7y49jzrZYrcshIqrVZAmY3C8KTw9sAQGwOxSRE2KoILpKNlVFaq4Zk+btxcHzOVqXQ0TkNro2CcLXY7sgyNvA7lBEToahgugq/X0sGc8uPMjB2EREGgj0NuCT0R0xoHWE1qUQ0QUYKoiugE1VIUHCu8uPYdbWWK3LISJyexN6NcHLQ1sDAFstiJwAQwXRZdhUFel5FkyctxcH4rO1LoeIiP7Vrr4/ZtzTBXUDvDjOgkhjDBVEl7HueAqe+e0gckxWrUshIqKL+Br1eHdkOwy/pj6EEJwhikgjDBVE5VBUFYCE91cex/ebz2pdDhERXcYd1zbEuyPbQZYAnczuUEQ1jaGC6CI2RUVGgQWT5u3FvnPZWpdDRERX6JqGgfh+3LUI9OLsUEQ1jaGC6AKqENh+JgOT5+9DdiG7OxERuZpwPyN+GHct2tQL4DgLohrEUEEE2Pvhztl2Fm//dRyKyo8FEZGrMuplvH9be9zWuYHWpRC5DYYKcnslAeK1P4/g553nNK6GiIiqywPXN8XLQ1tzFW6iGsBQQW7NpqgwWRU8PHcvtp/J0LocIiKqZr2bh+LrsV3gaZA5zoLIgRgqyG3ZVBXns0wYP2sXYjMKtS6HiIgcpEmIN2aN74pGId7Qc2YoIodgqCC3pAqBbafT8ejP+5BbZNO6HCIicjBfox5f3N0J/VqGcS0LIgdgqCC3wgHZRETuS5aAZwe3xOR+UVCFgMxwQVRtGCrIbXBANhERAcCwDnUx7Y5roJMlDuAmqiYMFeQWOCCbiIgu1KVxEOZM6Aovg44DuImqAUMF1Xo2RUVCtgnjOCCbiIguEBXui/kPdkewjweDBVEVMVRQraaoAseScnHfDzuRxRWyiYjoInX8PfHzg93ROMSbwYKoChgqqNZSVIGdMRl46Kc9KLAoWpdDREROyt9Lj9nju+GahoEcY0FUSQwVVCsJIbDqSDKeXHAAFkXVuhwiInJyRr2Mr8Z0Rv/W4ZwViqgSGCqoVvp5ZxxeXXIEnDGWiIiulE6W8PbwthjTvbHWpRC5HIYKqnW+WBeNaX+f0roMIiJyUU8OaI6nB7Wwr21ERJfHUEG1QsmB/81lRzF7a6zW5RARkYsb060R3hnRDgAgc5wF0WUxVJDLU1UBAeDZ3w5iyYEErcshIqJaYnCbCEwf0xk6GdDJnBmK6FIYKsilKaoKRQUembsX60+mal0OERHVMl2bBGHOhG7wNMgMFkSXwFBBLsumqjBbVYybtQt74rK0LoeIiGqpDg0CMP/BHvD0kKFnsCAqF0MFuSSboiK3yIYx3+3AieQ8rcshIqJarm09f/zyUA94G3UMFkTlYKggl1MSKEbP2IYzaQVal0NERG6iVR0/LHi4B3yNeq6+TXQRhgpyKQwURESkpebhvvj1kZ7w92SwILoQPw3kMhgoiIhIa9Gp+Rg9YxuyTVbYFFXrcoicBkMFuQQGCiIichZn0gpwx4ztyGGwILJj9ydyegwURMX0soRwPyOCfDzga9TD11MPX6Mefvb/N8DX879/+xj10MsSDDoJOlmCXpZRsoaXEEDJwV8VAgVmBQVmGwotNhRYFJgsCgotCgottn//W/z/WYUWpOWZkZZnRrbJCn6DkDtrFuaLhRPZFYoIYKggJ2dTVeQX2TBqxnacTs3Xuhwih/H31KNeoBfq+HsiIsATEf7G4v/390SDIC9E+HvC38sAWSq7sq8qBBRV2E/wZQnQyRKkcu57KUIIqEJAFcWhQ5IACYAkFYeSi9lUFdmFVqTlmZGUU4TUvCJ74EjOKcLZ9AKcyyyE2cYruVR7RYX74veJPTl4m9weQwU5LZuqotCs4I5vt3PaWKoVdLKEBkFeiAz1RbNwHzQL80WLcF80C/dFoLeH/X5CCNjU4kOzvhLhQAv2mkXx65T/DSGqEEjPM+NMWgFi0vIRm1GI2IwCnE0vQDwDB9USLSJ8sfCR6+Bj1DFYkNtiqCCnpKgCRVYFd87cjiMJuVqXQ3TV6gZ4okODALSrH4Dm4b5oWccPDYK8Yfj3hENRi1sFDG5yAlISOuQLWj1UIZCcU4RD57NxOCEXRxNycCQxB+n5Fo2rJbp6rer44ddHehYHC65jQW6IoYKcjqIKWGwqxn6/A/vOZWtdDtFlhfh4oEODQHRoEIBrGgbimoaBCPIpbnmwKmqpE2kqS1FVCMB+IpaRb8ah8zk4lJCDowk5OJqYi4Rsk7ZFEl2BDg0C8NsjPWHQyfzMk9thqCCnoqgCNlXFvT/swq6zmVqXQ1SGTpbQoX4AekSGoGPDQHRuFIhwf08AxZMKyNJ/XX+o8lRVQLmgJSfHZMWOmAzsiMnAzphMHE/O5SBxckrXR4VizoSukGWp3DFQRLUVQwU5DfHvANEJs3dhU3S61uUQASgerNymrj96NgvB9VGh6NY0GN4eeiiqACCgYzeHGqOoAhIAWZaQX2TDzrMZ2P5vyDiWlPvv34RIe8M61MUXd3diqCC3wlBBTuWZ3w7gj30JWpdBbi4q3BfXNQtBr6hQ9GwWAn9Pg/2ElV0anMeFf5NCiw27z2Zi65kM/HMilbPFkebu69kYbw1vp3UZRDWGoYKcxoerTuDrDWe0LoPckFEv47pmoRjUJgI3totAsI/x36lVBQdcupALQ0ZCtglrjiZj7fEU7DqbCavCrzqqec8MaoEnBjTXugyiGsFQQZpThcDPO+Lw6p9HtS6F3EiAlwH9W4VjcNsI9GsZDk+DDlZFdZvZmNxByd+z0GLDxlNpWHssBRtOpiGjgLNLUc15b2Q73NWtEbtCUa3HUEGaUlSBdcdTMHHeXrA7NDlagyAvDGoTgSFt66Brk2DoZAk2ReW88m7ApqjQyRIEgMPnc7DySBKWHUzirFLkcLIEzLinCwa0jmD3SarVGCpIMzZFxaHzObj7ux1cAIscJtTXA7d2rIfR1zZE67r+UFUBAY6NcGeqKF59XCdL2BuXhT/2nceKw0nIKrRqXRrVUka9jLkPdEfnRoG8iEG1FkMFacKmqIjPMmHEV1uRY+IXOVUvo17G4DYRGNWlAa5vHgYJACSw+wGVoagCklQ8+9zGU+lYsj8Bfx9LgcmqaF0a1TJ+Rj1+n3QdmoX5MFhQrcRQQTXOpqjINlkxfPpWdj2gaiNJQPemwbitcwMM61AX3h56dm2iq2JTVehlGUVWBauOJGPJ/gRsPp3OqWqp2oT5GbFkci9E+Bl5bKJah6GCapSiChRZFYyasQ3Hk/K0LodqgcYh3hjdpSFGXdsAdfw9GSSoWpS8jzLyzfh55zn8tice57N4EYSqrnGIN5Y82gv+XgZ2w6RahaGCaowqBFRV4N5Zu7D9TIbW5ZAL08kS+rcKx7iejXF98zD7FWYiRyjpIrUlOh0/74zD2uOpbL2gKuncKAi/PtIDelmCxG6ZVEswVFCNeuKX/Vh6MFHrMshFhfp64K5ujXBfj8YIZ6sE1bCS91tqbhF+2hGHBbvOIT2f09NS5Yzq0gAfj+6odRlE1YahgmrMx2tOYvo/p7Uug1xQu/r+mNCrKW7tWA+yJEGWwKt7pBkhBFRR/N/lh5MwZ2ss9sdna10WuaCXb26NB65vykkkqFZgqCCHU1SBNUeTMennfVqXQi5EloAb29XBgzdEonOjILZKkFMqeV/ujcvC9H9OY/3JVK1LIhciS8CcCd1wXVQIu3CSy2OoIIeyKSrOphdg+FdbUWjhFI10eXpZwshO9fFY/yg0DvGBogoOZiSnVzKuJzolD9PXn8Zfh5I47oKuiL+nHksfvx4NAr144YRcGkMFOYyiChRabBj6xWbEZ3LWFLo0o17G6Gsb4rF+UagT4AlVFZAZJsjFlITgxGwTvt5wBgv3xHNxT7qspqE+WPbY9fDy0PEiCrkshgpymOKZnnZi62nO9EQV8/bQYWz3xpjYJxLBPh4Q4CJ15PpUISAByDFZ8d3ms5i7Ixa5JpvWZZETu6F5KH6c0I0XU8hlMVSQw7z91zH8sOWs1mWQk/L31GPcdU3w0A2R8DXqIXHwNdVSiipgsamYuTkG32+KQZ6Z4YLKN6FXE7x+S1utyyCqFIYKqnaKKrD0YCKe/vWA1qWQE/Iy6PDgDU0xsU8zeBrY1E/uQ1EF8s02fPlPNOZuj2O3KCrXB7e3x+guDdliQS6HoYKqlU1RcTIlD7d9vY1fmFSKTpZw57UN8ezgFgjy9uAXJrklIQQEgPQ8Mz5ecwqL9p3ngG4qxaCTsODhnujYIIADt8mlMFRQtVFUFbmm4oHZSTlFWpdDTmRI2wj8b2hrNA725pgJIsA+EUFsRgE+WHkCK48ka10SOZEQHw8sf+IGhPp6MFiQy2CooGpRshjUXTO3Y3dsltblkJPo0jgIr9zcGp0aBXFqWKJylHwujibk4L2VxzmxBdm1reePJZN7wcBQQS6CoYKqzSuLD2PeznNal0FOoFmYL/53UysMbBPBReuIrkDJOhcbT6bi9aVHEZtRqHVJ5ATu69kYbw1vp3UZRFeEoYKqTFEFFu09jymLDmldCmnM16jHM4NaYNx1TSCEYJgguko2RYUA8O3GGHy1/jRMVi4a6u6+vacLBrQJ54rb5PQYKqhKbIqKc5mFGPrFZhRZOTDbnd3SoS5ev7Utgrw92M2JqIoUVSA934w3lh7leAs35++px6qneiPc38hgQU6NoYIqTQgBmyIw7MstOJmSp3U5pJHIUB+8O7IdejYLhSoEB2E7gbwiK7ILrcgxFf+3yKpAJ0uQZQk6SYJOLv2jlyXIF2z30Mnw99LD39PAWbo0VDLeYtvpdLz651GcScvXuiTSSMcGAfjj0V68YENOjaGCquSVJUcwb0ec1mWQBjwNMib3i8KkPs0AgF2dHCQ5pwhJOSZkm6zIKbQiu9CCbNOFoaH43zn/3p5jssJWTVOUShLgZ9QjwNuAAC8DAr08EOBlQIC3AeF+RtTx90REgCfqBniiXqAX/D0N1bJfKs2mqJAkCd9vjsEX66JRYGGXKHf0wPVN8eqwNlqXQVQhhgqqFJuqYv2JVDz0016tSyEN9G8VjndGtEMdf09eya4GqipwPsuE6NQ8nE7NR3RqPk6n5uNMar5Lrb7s56lH/UAvNAjyRmSYD6LCfNEs3BdR4b4I8GLgqCpFFcgqtOClPw5jzbEUrcshDfww7lr0aRnGblDklBgq6KopqkBGvhmDPt2EHJNV63KoBoX5GfH+yPYY2CaCU8RWgk1REZtRUBwcUv4LDzHp+bV+TFKYnxFRYcUBIyrcF+3q+6NtvQB4GnRal+ZSSta3WHowEa//eQRZhTwGu5MALwPWPN0bob5GHn/J6TBU0FVTVYG7vtuBXWcztS6FatCtHevh3ZHt4GXQsavTFVBUgYPns7H9TAaOJOQgOjUfcRkFsCo85JYw6CS0ruuPaxoG2n8iw3y1Lssl2FQVeSYb/rf4MFZxILdb6dwoCAsn9mSoIKfDUEFXRQiBz9dF47O10VqXQjUk2McD741shxvb1bVfJaWyhBA4mpiL7WcysO1MOnbHZiHfhbouOYtAbwM6Nvg3ZDQKRKeGgQj09tC6LKdU8nlcfigRr/55FJkFFq1LohoysU8kXryptdZlEJXCUEFXzKaoOBCfjTtn7oBSTQNBybkNbhOBD0d1gK9Rz9aJckSn5GHbmQxsP5OBnWcz2BXFQSJDfXB981AMbB2Bns1CuMLwRWyKigKzgv8tPoQVh9lq4Q4kCfhxQjdc1yyEx2ZyGgwVdEVUIVBgtmHwp5uQlFOkdTnkYP5eerx5azuM7FSfrRMXiMso+LclIgPbYzKQlmfWuiS342fUo3eLMAxsE47+LSMQ4M0B4ADs0zmvOpKEV5YcQXo+Wy1qu2AfD6x5qjeCfLg2EDkHhgq6Yo/M3YPVRznjSG3Xp0UYPhndEYE+BrefYcSmqNgUnYaVh5Ox7UwGErJNWpdEF9DLEro0DsKgNhEY1CYCjUN8tC5JczZFRV6RDU8u2I9N0elal0MO1rdFGObc303rMogAMFTQFVBUgfm7zuHVJUe0LoUcyKiX8fLNrXFfzyZuP7PT3rhMLNmfiOWHk9hP3YVEhftiUJsIDGwdgU4NA922ha3k8ztjwxl8vOZkta1bQs7pg9vbY1SXhm59zCbnwFBBl2RTVcRnmnDjZ5tgttXuKS/dWaNgb8y4pwta1vFz2y+m06n5+PNAAv48kIhzmYVal0NVFOprRP9WYRjYOgI3NA+Dl4f7TV2rCoHD53Mwef4+nM9iK1tt5WfUY+2zfTjNLGmOoYIuSRUCo77Zhn3nsrUuhRzkxnZ18MnojjDqZbcb8JeaW4SlBxOx5EACjiTkal0OOYifUY8RnepjbI9GaFXHX+tyapRNUVFkVfHc7wc59WwtdkPzUMx9oLvWZZCbY6igCimqwOytZ/HO8uNal0IO4KGT8b+hrTChV1O3GoydV2TFqiPJ+PNAIradSQd7hriXLo2DcE+PRhjavi6MevdovSgZxD13Rxze+esYW51rqfdGtsOdXRuxtYI0w1BB5VJUgaQcEwZO21jrV/p1Rw2CvDDjni5oU9ffLcKEVVGx4WQaluxPwNrjKTypIgR5GzCqSwOM7d4YTULdY4C3ogqcScvHpHl7cSatQOtyqJr5eOiw9tk+CPczQufmk2yQNhgqqEJ3zdyOHTFcNbu2GdI2AtPuuMYtujsVmG34Zdc5/LDlLKdCpnJJEtCrWSjGdm+EQW0iav1nwqaosKkCTy44gNVH2R2qtrmuWQjmP9RD6zLITTFUUBmc7al2kiXgxZta4+HekfbuELVVWp4Zs7eexbwdccgt4qrWdGXC/Yy4q2tD3NWtEeoFemldjsOUdHf8bO0pfL4uGjwLqF3eHtEOY7qxGxTVPIYKKkVRBdLyzBjwyQYUWBSty6Fq4mfUY/qYTujdIgxSLQ4TZ9MLMHNTDBbtOw8LuzhRJelkCf1ahmFsj8bo0zys1nYRFELg72MpeOrXAyjk8b7W8PbQYe0zfRDh78lgQTWKoYLKuO+HnVw0qRZpFOyNORO6onGIT639gjkQn40ZG85gzbFkDrymahUZ6oMnBzbHLR3q1cpwoagCZ9PzMWHObsRnctrZ2qJHZDAWPNxT6zLIzTBUkJ2iCvyx7zye//2Q1qVQNeneNBjf3XctvD10tbKv+PoTqZix8Qx2nuXYH3KslhF+eHpQC9zYro7WpVQ7m6Ki0KLgkXl7sf1MhtblUDV549a2uLdH41p7MYmcD0MFASgOFFmFFvT/ZANyTeyDXhvc1bUh3h3ZHgBq1ZeKTVGx9GAiZm6KwYnkPK3LITfToUEAnhnUAn1bhmtdSrVS/m3ie3PZUfy0PU7jaqg6eBl0+PuZ3qgb4FWrvgPIeTFUkN2DP+7G2uOpWpdBVaSTJbw0tBUeuD4SQohaM4aiyKrg553nMGvLWSRks5sGaatrkyA8O7glekSGaF1KtVuw6xxeWXIENvYldHlcFI9qEkMFwaaqWHE4GU/8sl/rUqiK/Ix6fDW2M65vHlqrZndaejARH6w8wTBBTuf6qFA8O7gFOjUK0rqUaqOqApuj0zBx3j6YrBzA7eq+GdvZLaZLJu0xVLg5IQRyi2zo9/EGZBZYtC6HqiDMz4j5D3ZHZJhvrWnqPhCfjbf/Ooa9cVlal0J0SQNbh+OZQS3Rpp6/1qVUC0UVOJaYg/tm7UJWoVXrcqgK6vh7YsPzfeFpcI8V5Ek7DBWEl/44jPm7zmldBlVBo2Bv/PJwD0T4GWvF1aikHBM+XHUSSw4kcA59chmSBAxtXxfPDGqBZmG+WpdTZTZFRUK2CWO/34nzWWwldGWP9I7ECze1qlUt2OR8GCrcmE1REZ2aj5u/2MxpOF1Ym7r+mPdgd/h76l0+UJgsCmZsPIOZm2LY7YJclk6WMLJTfbxwYyuE+Rm1LqdKbIqKHJMV9/ywE8eTODGCqzLoJKx5ug8aBXvXmpZscj4MFW7u9m+2sWuJC+vWNBizx3eFUS+7dKAQQmDx/gR8uOokknOLtC6HqFoEeBnw0tBWuLNrI61LqRKbqsJsVfHAj7uxI4bTN7uq65qFYP5DPbQug2oxhgo3ZVNU/HUoCU/9ekDrUqiSBrQOxzdju0AnAzrZdQPF3rgsvLXsKA6ez9G6FCKH6BkZgvdva48moT5al1JpiiqgCoEnftmPlUeStS6HKmn6mE64sW0dl74IRc6LocJNFVkV9P5wPVLzzFqXQpVwW+f6+GhUR0gSXLaPbF6RFVNXnsD8Xec4boJqPaNexpMDm+PhGyJd9oROVQUgAa8tOYJ5OzkOzxVF+Bux8fl+HLRNDuGaRzaqElUIfLb2FAOFi3rg+qaYdsc1kF04UPx9LAWDpm3CzzsZKMg9mG0qPlx1ErdM34pD57O1LqdSZFmCLEl4Z2R73N+ridblUCWk5JrxyZpT4PVkcgS2VLgZRRVIyDZh4CcbYVFUrcuhq/RY/yg8N7il1mVUWlqeGa8vPYIVh9l9gtyXTpYw/romeHZwC3h76LUup9LeW3EcMzfFaF0GXSW9LGHN073ROMTbpbvOkvNhqHBD42fvwoaTaVqXQVfJ1QPFr7vP4b0VJ5Bj4pz3RADQIMgL74xoh74tw7UupdI+XHUCX284o3UZdJV6RAZjwcM9tS6DahmGCjdiU1Rsik7H/XN2a10KXSVXDhRJOSY8v/AQtpxO17oUIqc04pp6eO2Wtgj28dC6lEr5eM1JTP/ntNZl0FX6/K5rcHP7ui47xoecD0OFG7EqKgZO24i4jEKtS6GrMLlfFJ4f4pqB4s8DCXh1yRHkFtm0LoXIqQX7eOCVm1vjts4NtC6lUthi4XrC/YzYNIWDtqn6MJ66CVUVmLkphoHCxTzSO9IlA0WOyYonftmPJxccYKAgugKZBRY889tB3D9nN7ILLVqXc9Wm3NgKj/SO1LoMugqpeWZ8uykGCle/pWrClgo3oAqBjHwL+ny0HoUWrlLsKsZf1wRv3NpW6zKu2u7YTDy14AASsk1al0LkkuoHeuGbezqjQ4NArUu5au8sP4bvN5/Vugy6Qr5GPba+0B/+XnpILjqbIDkPtlS4AVmSMHXlcQYKFzKmWyOXCxSKKjDt71O4a+YOBgqiKkjINmHUjO34eWec1qVctVduboM7rm2odRl0hfLNNny27pTWZVAtwZaKWk5RBeIyCjBw2kawhdM1DL+mHj6/qxOEEC5z5Sg934zH5u/DjphMrUshqlVu79wA745s5zL93oUQEAJ4ZN5e/H0sRety6Ap46GRsfL4vIgI8XXbtI3IObKmo5XSyhA9WnWSgcBHXR4Vi2h3XuFSg2BuXhWFfbGGgIHKARfvOY+TX2xCXUaB1KVdEkiRAAr4a0xldmwRpXQ5dAYui4oNVJxkoqMoYKmoxRVVxNDEHq49yoTFX0LaeP76771oAcJlAMWfrWdw1czuSc4u0LoWo1jqelIthX25xmSv/siRBJwNzJnRDqzp+WpdDV+DPgwk4lZLHQdtUJQwVtZhOljF15Qmty6Ar0CDICz/d3w0GnQSd7PyBwmRR8NSC/Xhj2TFYFX4JETlaXpEND8/dg6krT7jEiZ9OlmHUy/j5we5oEOSldTl0GUIUr5DuCt8/5LwYKmopm6Ji19lMbI7mgmPOLsjbgJ8f7I4AL4NLLEJ0Nr0AI7/eiiUHErUuhcitCAHM2HgG93y/E+n5Zq3LuSy9TkaAlwG/PNQDIS66sJ872XAyDbvPZsKmqFqXQi7K+c9gqFL0OhkfrGIrhbPzNMiYPaEr6gd6uUSg2H4mAyO+2ooTyXlal0LktrbHZODmLzZjb5zzj2PS62TUDfDETw90g4+Haww2d2fvrTjuEt9F5Jz4zqmFbIqK9SdSsTcuS+tS6BJ0soTpYzqjff1AlziIL95/HuNm7UKOyap1KURuLyXXjLtm7sCsLc6/JoReJ6NVneIxY3p2r3Fq++OzsfpIMlsrqFKc/0yGrppeJ+Oj1Se1LoMu463hbdG/VbhL9GH9Yl00nv71ICz8oiFyGlZF4K2/juHZ3w46/UmgTpbQo1kIXruljdal0GV8uPoEZ4KiSmGoqGVsioq/DiXiWFKu1qXQJTx4Q1OM7d7Y6Q/cVkXF8wsPYtrfXByJyFkt2ncej8zdiyKrcy9wKksS7uvZBGO6NdK6FLqEM2kF+HVPvNMHVXI+DBW1jCRJ+GQNTwCd2fVRoXjpptZal3FZeUVW3D9nNxbuPa91KUR0GetOpOLeH3Y6ffdEIQTeHtEOPSKDtS6FLuGztafg/HOMkbNhqKhFbIqK3/fG42y6ayyS5I4aBXvjm3s6O/3BOjHbhFHfbOfsYUQuZHdsFu78djtS85x33ZiSNXi+vfdaNAzmVLPOKiXXjN/3nmdrBV0VhopaRAD4fG201mVQBbw9dJg1viu8DDqnHkdxJCEHI7/eipMpnOGJyNWcSM7DqG+2O/UK3DpZgo+HDrPHc0YoZzZj4xmn76JLzoWhopawKSoW7IpHYo7zXqFyd5/ecQ2ahvo49UxP60+k4s5vtyMl1/nnwCei8p3LLMSoGdtxLNF5x9bpdTKahvrg87s7geetzikuoxB/HU5iawVdMec9u6GrIksSvtsco3UZVIHH+kdhSLs6Tt1CsfJwEh76aQ8KLM492JOILi8tz4w7Z27HzpgMrUupkE6WMKBVOJ4b3FLrUqgCX68/7dQXwsi58J1SC9gUFSuPJOFcZqHWpVA5BrR2/i/Nv4+l4IkF+2FTnX20BxFdqbwiG+6btQt/H0vRupQKSZKEyf2icHP7ulqXQuU4kZyHf06ksrWCrghDRS2g18mYsZGtFM6oWZgPvry7E1QnPlnfcDIVk3/eB6vivDUSUeWYbSomztuLP/Y57yxuqirw0egOaBzirXUpVI7p/7C1gq4M3yUuzqao2BGTgcMJOVqXQhfxMujw3X3XwkMnQ3bSbk9bT6fjkbl7uagdUS2mqALPLTyIPw8kaF1KuWRZgodOxjdju8CDJ69OZ9+5LOw6m8nWCrosfnpdnF4n46v1p7Uug8rx2i1t0DjEeQdm74zJwIM/7oHZxi8KotpOFcAzvx3EX4cStS6lXHqdjFZ1/PDSza20LoXKMf2faKf9LiPnwXeIC1NUgZPJeVxLwAkNbV8Hd3dr5LQDs/fGZeL+ObthcvIVeImo+iiqwFMLDmDVkSStSymXLEsYf11TDGlbR+tS6CKbotNxLDEXisqLUFQxhgoXppMltlI4oQZBXvhoVEenHUdxMD4b42ft5ixPRG7Ipgo8/st+rHXSwduqEJh2R0c0COLCeM7my3+ioZN52kgV47vDRalCICnHhOWHnfOKk7vSyxKmj+kEo945x1EcScjBfbN2Ic9s07oUItKIVRF49Od9WH8yVetSypAlCUa9jG/GdoZB53zHUHe2+mgyYjMKnPaCGWmPocKFzdgYA4Ufbqfy1MAW6NAg0Cn7np5MzsO9P+xEjsmqdSlEpDGLouKRuXux7bTzdZ/V62S0rReAKTdyfIUzUQXw1T+nnfKCGTkH5zvzoSuSX2TDb7vjtS6DLtCzWQge7dcMshMuD3s6NR9jv9+BrEIGCiIqZrEVB4sjTjh7oCxLeOiGSPRvFa51KXSBJQcSkJpbBCF4QZPKYqhwQYoqMHvrWQ6ydSLBPh748u5OcMbjbGx6AcZ+vwPp+RatSyEiJ5NntmH87N04l+F8i6cqqsDHozsi0NugdSn0L6siMGdbLNhJgsrDUOGCbKqKH7fHaV0GXeDDUR0Q6GVwutmezmcVYsx3O5CSa9a6FCJyUun5Ztw7ayfS853rOKGTJfh76fHmrW21LoUu8MuucxxXQeViqHAxNkXFwj3nkVnAq87OYvg19TCwdYTTjaMotNjw0E97kZhTpHUpROTk4jIK8cCPe2Byslnh9LKM4dfU5zSzTiSr0IolBxK4GB6V4VxnQXRZep2Mn7bHal0G/SvU1wNvD2/nlFdtnl94CMeTcrUug4hcxMH4bDz+yz6nmwBEVQU+uL09gn08tC6F/jVnW6zTXUgj7fEd4UIUVWB3bCZOpeRrXQr9663h7eDtoXO62TCm/xPN6YaJ6KqtPZ6KN5cd1bqMUmRZgq+nHm8PZzcoZ3E0MRcH4rO4GB6VwlDhQnSyhJ+2xWpdBv3rxnZ1MLR9Xae7WrPueAo++fuU1mUQkYv6aXsc5u88p3UZpehlGTd3qIeh7dkNylnM2hLLxfCoFL4bXEhWgQWrjiZrXQYBCPQ24L2R7Z2u29Pp1Hw8teCAU85CRUSu4/WlR7A7NlPrMkpRhcD7IzsghN2gnMLKI0nIKHCuwf2kLYYKF6GoAvN2xsGq8GzRGbw+rA38vfRO1e0pt8iKh3/aw9WyiajKrIrApHl7kZht0roUO1mS4GPU4d2R7bQuhVD8Hpm/85zTjcEh7TBUuAgJwC9O1hztrvq1DMfIzg2gd6JmX1UVeOKX/YhJL9C6FCKqJdLzLXh47h4UOdGaSHqdjBvb1eVsUE5iwa54OOF6r6QR5zkrogrZFBXrT6ZyalAn4GfU48NRHZzuysxHa05iw8k0rcsgolrmSEIupvx+SOsySlFUgbeGt4WXQad1KW4vIduEjSfTOL0sAWCocAl6nYz5u9hK4QyeGdwCwT4eTrXI3dKDifhmwxmtyyCiWsrZjjE6WUKYrxGP9Y/SuhQCMHdHnNNNWELa4LvABaTnmXkV2gm0jPDDfT2bOFWgOJqYgxec7CoiEdU+H685iV1nnWfgtixLeKR3JCJDfbQuxe1tOJmKlNwiCM4Q4vYYKpycogrM38WBUM7grRFtneqgmZFvxsM/7YXJifo7E1HtpKgCTy3Yj5xCq9allPL2CA7a1poqilsreJpCDBVOTpKA3/bEa12G2xvavg66Nw1xmiZem6Li0Z/3IcGJZmYhototMacIUxYd1LoMO71ORq+oUNzUjoO2tbZwDwdsE0OFU7MpKradTsf5LJ44asnLoMPrt7R1qtaiD1adwE4n6opARO5h9dEUzN0Rp3UZdqoq8OatbeHtwUHbWkrJNWNnTAZX2HZzDBVOjAO0ncPEvs0Q6mt0mrEUu2Mz8cOWs1qXQURu6p2/juFkcp7WZQAoHlsR4mvE4xy0rblF+xIgs7nCrTFUOLH8IhvWHkvVugy31jDYC4/2aeY0gcJkUTDl90Psu0pXJf/IOsR9MAz5R9fbt6kWEzLXzkT89HsQ9/FIJM158rLPI1QFCd89goRvH7rgeYqQvuxjnPv0DiTMfAimmL2lHpM8/0XkH/q7+l4Mac5sU/H4L/ucZv0KnSzh4d7N0CzMV+tS3NqqI8lcoNfNMVQ4KZui4q/DibBw7mdNvTasjVP1E/1w9Qmc5QJ3dBWEzYLszT+X3qYqSP39TZgTjiH05mdQd9yn8Os64rLPlX9wNWyZCaW25e76A4opF3XGvA//riORvnyafUKD/MPrAFWFT/uB1fZ6yDmcSsnHW38d07oMOyEEXh3WWusy3Fq+2Ya/jyVzzQo3xlDhpPQ6GUsPJGpdhlu7oXkoBrWp4zSDs3fGZGDOtlityyAXk71tAYx1m5faln/ob1jTYhFx5zvwatoZHmFN4Nu23yWfRynIRvaWn+HVvEep7ZakU/Dvcgs8IprBr9NQAIBqyoVSlI/sTT8ieMijkJwpmVO1mb/zHFYeTtK6DADF35l9W4ajW9NgrUtxa3/sT3Ca70yqefzLO6nMAjN2xGRoXYbbkiTg1WFtnGZwtsmiYMqiQ3CiGW3JBVhSzyJ//woE9X+o1PaCw2vh22EwZM8r7y6SufZb+LTuA4/wpqW26/xCYYrZC6EqKIo/AkgSZC9/ZG+cA+/WveER1qQ6Xgo5qRf/OOw0s9DZFBUvD2VrhZY2nUpDrsm5ph2mmsNQ4YRsioo/DySy37yGhrWvixYRfk4zlmLqyuOIyyjUugxyIcJmQfqyjxHQ807o/UP/264qMKechs4vBKmL3kL853ch6cenyoyFuFD+0fUwJxxH4A33lLktoOdomM7uw7mPRiD197cQMuRxWJKjYTqzF4G9xjjktZHzyDFZ8eQv+6E6wReWXiejY8NADGkboXUpbsuqCCw5kMAuUG6KocIJ6XUylh1k1yet6GUJU25s5TStFNvPZOAnJ5rCkVxD5rrvIHv7w6/r8FLbVVMuoNiQt/cveEX1QPjoN+ERHonURW/DetF4CQCwZiYg6+8ZCBn6FGSjd5nb9QERqPfQt6g/aTYaPjEfXlFdkbn6KwT1fwCmM7uQ+P0kJMx8GPlH/nHYayVt7YnLwrydznGMUlSBF29q7TQXhNzREnaBclv8qzuhpGwT9p3L1roMt3V7lwZoGOztFF9KBWYbpiw6yG5PdFXyDq5G4antCL3leUhS6cO8UItn7PFp1x9+HQfDWK8lgodMhs7LDwXHN5W6r2ouRNof78Cv8zB4Nbmmwv1JkgS9fygknR55+5ZD9vKHR3hTZG+Zj4i73kP4HW8ha8Ms2PLSq/21knP4ePVJpOWZtS4DOllC01Af3N65gdaluK1957KRkGWyT9hA7kOvdQFUmk1RsXh/2auFVDOMehnPDmoBVRWQnSBUTF15AvGZztFfmVxHzvbfoJpykTDjgVLbM1Z8Dn1gBCDJMATVtW+XZB30gXWgFGSXun/hqe2wZsQjZ9cfyNn1R/FGVQGEQNzHIxFy4+Pwbdfffn8lPws5235FnbEfoCj2ALyiukHnGwQdAM8GbWFJiobeLxRU++QW2fD+iuOYduc1WpcCVRV4fkhL/HkgAWYbu+Fo4fe98ZjcPwp6TtLgVhgqnIxeJ2Mpuz5pZmz3Rgj1MzrFAj7bTqc7TZcCci0Rd74DqLZS2xK/n4TA3vfCu8V1SF/6IcyJJ+HTpi8AQChWWLOS4N3q+lKP8W7RA8Z635TalrfvLxSe3oWIO96Czrf0TDuZ67+H3zU3wRBcH6bTu4oDyL+E1Qzo+JVTm/2xPwF3dm2I7pEhmtZRvCCeB8Zf1wTfborRtBZ3teRAIp4c2ELrMqiGsfuTExFCICYtHyecZKVSd+PjocMTA5pD+zhR0u2Jsz1R5RiC6sIQ0rDUDwDofINhCKoL/24jkXdgFfL2r4A5+TQyVn4BQMCn3QAAQPryacjduwyy0afM88he/pBkffH/G33s+zTFHYQl8RQCeo4GABgbtEHB8U0wxR5AwcmtMCedgrFeyxr/XVDNevXPI04xSFeWJDzevzn8vRhktXA2vQBHEnKcYgA/1RyGCieiiuIrPaSNCdc3hb+nwSnm1H93xXGcz2K3J3IMn9a9Edz/QeTsWIjkec/BlpNS3PLw7xSz1ox4KLlpV/x8QrEic803CB74CCS9BwDAWK8l/K8djvSlHyJ7w2yE3vw0dF7+Dnk95DxOpeTjhy1ntS4DAODlocOD10dqXYbb+n3veTjFVTqqMZLgSBqn0uej9Zw6VAMBXgZse7E/fIzaX9XaejodY7/fqXUZRESV4u2hw7pn+6BugJfWpSC/yIYe769Dvtl2+TtTtYrwN2LnSwO1LoNqEFsqnIQqBI4k5DBQaOT+Xk3gadBpXQYUVeDNZUe1LoOIqNIKLQreWnZM6zIAFAecMd0baV2GW0rJNeNoYg5UXrt2GwwVzkKAsz5pxMugw4ReTZ1iCtmFe+JxKiVf6zKIiKpk5ZFkbDx15V3oHEWSgEf6RMKo5+mOFlYdSebYQDfCT5mTkGUJq48ma12GW7qja0P4emrf7clkUfDp2lNal0FEVC1e//MIzDbl8nd0IEmSEOztgVFduG6FFtYeT3GKC3ZUMxgqnMTZ9AIOzNWAXpYwsY9zDOT7YUsMUnK1XzyKiKg6xGYU4psNZ7QuAwLA5H5RPLnVwPGkPKTkFmldBtUQhgonYFNUrGErhSaGtq+LugFemq9LkZFvxrcbOZ86EdUu32w4g3MajxWUJQn1Ar1wS4d6mtbhrlYeSYbVCaYZJsdjqHACep2M9SdTtS7DLU3uFwXFCebR/mJdNPI4OwkR1TJmm4rXlh7RugwoqsDj/aPgBDOGu511x1Ng0PF00x3wr+wECsw27InN0roMt9O7eSha1vHTvEk8Nr0A83ed07QGIiJH2XAyTfMxgzpZQrNwXwxsHaFpHe5oZ0wmCi28aOYOGCo0ZlNUbDiZCpsTXC13N4/2i3KKlV8/Wn0SVoV/fyKqvT79+xS0XhZLUQUe6xelaQ3uyKKoWH8yzSm+b8mxGCo0ptfJ+OcEuz7VtPb1A9AjMgR6jZtkD8RnY/nhJE1rICJytBPJeVh9NEXTGnSyhI4NA9G+foCmdbijv4+maP59S47Hv7DGVCGw4aT2c3m7m4d7RzrFVZP3VhzXugQiohoxfX201iXApqgY36uJ1mW4nfUnU51i/CI5FkOFhoQQOJqYi4wCi9aluJUwXyOGtq+j+VWTtcdSsOtspqY1EBHVlCMJufjnhLatFXqdjFs71kOIj4emdbibHJMV++KyoDJY1GoMFRpShMDfxziVbE27s1tDANoOzlZUgQ9WndC0BiKimvbFutNalwBZknBXt0Zal+F2VnHq/FqPoUJDepnjKWqaTpZwb4/G0HoNpN/2xCM6NV/bIoiIatiB+GxsOqVtl19ZAsZf10Tzmf/czdrjKZD5O6/VGCo0lJFvxtHEXK3LcCv9W4Ujwt8TkoaTlZssCj79+5Rm+yci0tKX/2g7tkKSJIT5GdGvZZimdbibuIxCJGabtC6DHIihQiNWRcXfx1Og8Qx7bue+no01H6C9YPc5pOaZNa2BiEgru2OzsP1MhqY12BQV9/ZorGkN7mhzdDpX167FGCo0YtDJWM+uTzWqQZAXekWFajpAW1UFftwWq9n+iYicgdatFXqdjBtahKFBkJemdbibHTEZXF27FuNfViOqEJpfqXE3o69tqHnL0PqTqYjNKNS2CCIijW07k4E9sdrOfqcKgTEcsF2jdsTwvKc2Y6jQyOnUfOQWcdn6miJLwJhujTQfmDd7a6ym+ycichZf/KPtTFB6WcadXRtqPnGHO0nKKUJCFi+s1VYMFRqwKiq2sZWiRvVpEY4wP6OmNZxKycOW0+ma1kBE5Cw2nUrDwfhsTWsI8TWiR2SIpjW4m82nOa6itmKo0IBBJ2PXWYaKmjTq2gaaD9BmKwURUWlaj62wKipGdqqvaQ3uZseZTI6rqKX4V9XI7rNZWpfgNnw8dBjUOkLTAdrZhRYs3n9es/0TETmjtcdTcTQxR7P9G3Qybu5QF54Gng7VFI6rqL34KdJAfGYh0vI5pWhNGdSmDjz02r7Vf9kVjyIrm3uJiC42c1OMpvv39tBjYOsITWtwJ8m5RTjPcRW1EkNFDeN4ipo3olM92FTtTugVVWDejjjN9k9E5MxWHUlGjsmq2f5tqorbOjfQbP/uiOtV1E4MFTVML0scT1GDAr0NuKF5KPSydm/11UeTkcBVRImIymW2qVh6MFGz/etlGX1ahCLYx0OzGtzN9jNcr6I24l+0hkmShF0az83tToa2qwtZ0noa2bOa7p+IyNkt3BOv6f4lScLN7etqWoM72cmLq7USQ0UNS8szIz6TV61ryohO9aFquODdkYQc7I7loHwioks5dD4HJ5JzNdu/EMDtXTgLVE1JyTUjPpPjKmobhooaZFNUbI/hOgU1JcLfiGubBGm64N0stlIQEV2RhXu0myFPJ0u4pmEQGgV7a1aDu+G4itqHoaIGybKEXZxKtsYM61AP0LCVIi3PjL8OJmlXABGRC1myP0HTk0xVFRjUhrNA1ZQ9cVyvorbhX7MGyRIHadekkZ3qAxoOp5i/8xwsvApDRHRFMgosWHc8RdMabmxbR9P9u5PD57Vbn4Qcg6GiBuUVWRGdmq91GW4h3M+IdvUDNB2kvXCvtgMPiYhcjZZdoGRZQufGQQj0NmhWgzs5k5aPIquidRlUjRgqaogqBPbFZUFo2B3HnfRtGQ6h4S97/7ksnM/igHwioqux4VQaUnOLNNu/TpbQt0W4Zvt3J6oAjiflavpdTdWLoaKGKKrA4QTtZrZwNwNah0PR8EC1/BDHUhARXS1FFVi0L0Gz/dsUFYPaclxFTTkQnw2bllM0UrViqKghBp2MY0nsP1gTPHQyejcP02zBOyEEVhxmqCAiqgwtu47qdTL6tQyDBwcQ14gjCTkcrF2L8C9Zg44msqWiJnRtGgQvD51m+993LguJOdo13xMRubKYtALsjdNukVhvDz26RwZrtn93coiDtWsVhooaYrIoOMeFXmpE/1bhmk5L+Be7PhERVclvu7UbsG1VVAxszS5QNYGDtWsXhooaIITA8eRcDtKuIYPb1NGsOVUIgZWHkzXZNxFRbbH8cBJMFm1ONg06GTe249SyNaFksDbVDgwVNcCmCDbx1ZAmId5oqOGKqLtjs5Cs4cwlRES1Qb7ZhjXHtLtAE+HvidZ1/TTbvzs5EJ/NlbVrCYaKGqDXSTjG8RQ1on+rcCgaziSx/FCiZvsmIqpN1p9I1WzfqirQMzJEs/27Ew7Wrj34V6wBkiThaCJbKmrCAA37waqqwMoj7PpERFQdNkena7aGgYBAz2YMFTXhcALPj2oLhooaYFNVnOZK2g6nlyV0aRwEnazNKto7z2YiNc+syb6JiGqbjAKLZiecOllGz8hQaPR14lbOpBXAbONg7dqAoaIGxKYXwGxjf0FHa1c/AJ4G7aaSXXmEsz4REVWnjSfTNNu3r6cerev6a7Z/d6Gogl3EawmGCgezKSoOxrNpryZ0axqs6XiK9Se16/9LRFQbbTylXahQVIEeHFdRIw6dz4GVF19dHkOFg0mShGOcLq1GdG+q3WJFMWn5iM80abZ/IqLaaH98NnJMVo32LnAdx1XUiDNp+Zp1Xabqw1DhYDqZg7RrgiQVt1RodVDapOHVNCKi2kpRBbaeTtdk3zpZRo/IEI6rqAFn0wsg8xft8hgqasDxpDytS6j1WoT7wc/ToNn+N0Vr86VHRFTbaXnRxsfIcRU14Wx6gdYlUDVgqHCwXJNVw6Zb99GtaTBUjaYeNNsU7IjJ0GTfRES1nZahQlE5tWxNSMw2wcIxFS6PocLBzmUWal2CW+jWNBiqRoO098RmodDC6fCIiBwhMacIp1K0a/HnIniOpwrgfBbPl1wdQ4UDKarAmTSuT1ETrmsWAr1GK3JqOTsJEZE70GpqWZ0s4ZqGgZrs291Ep+RrOoMjVR1DhQOpQiA2g8nb0RoFeyPE16jZ/jdzPAURkUNpefEmxNeIcD/tvmPcxZm0fM26MVP1YKhwIINOxrkMDj5ytHb1tRtEl2Oy4mQypwwmInKkXbGZMGnYzbR9gwDN9u0uzqYXQM8ZoFwaQ4WDsaXC8drWC4BV0WaA1964TLC1lojIsSw2FdtjtGkVtikq2tdnqHC0mPQCSBJDhStjqHCwcwwVDteunr9m61PsOpulyX6JiNyNVuMqJElCB4YKh+O0sq6PocKBiqwK0vLNWpdR67WrHwBZo6sbkcG+GNauHnyNOk32T0TkLvbEaXMRRydL6MjB2g6XWWBBvtmmdRlUBXqtC6jN4jmdrMOF+npoNkhbFQJGGDAgqh4GNq8HD72E7CILTqXmYuPpVJzleBoiomoTnZoPm6JqMtNfiK8RYX5GpOXxQqEjxaYXoB1bhVwWQ4WDqKpATBpPKh2tjYYrneYW2uzjKYQAzFYBL50BHeuGoGPdEHgYJFgUBXFZ+dgVm4GdsRlQOP6CiKhSLDYVp9Py0aqONsf99vUD8M+JVE327S5OpeShVR0/zaaIp6phqHAQRQheqa4Bber5Q1FV6OSaPwBl5l16pXSLVQCQ0TjAH407+uPuTpGQdAKpeSYcTMzGhuhUrrZORHQVjiflahIqSgZrM1Q4FsdVuDaGCgfRyRIHadeAtvUCoNXF/6z8qwsENlUAKhDk6YW+kV7o16wuPPQScs0WnErLw+YzqYhO5WKJREQVOZaYi5Gdan6/kiRxBqgakJBtYiuFC2OocBBZkhDLlgqH69AgAHoNWikAIPMqQ8XFSrpMGWUD2kcEo31EMDz0EiyqgvjsAuw5l4ltMenFYYSIiHA8KU+T/epkCS3q+Gmyb3eSmssxK66MocKBznGgtkN5GXRoGOytyb6tNhX5RdW/EJPFVtxlqqG/Hxq288OoDk0g6wTSCopwJDEbG6NTkV5gqfb9EhG5guNJ2i02Wi/QE3pZ4oUeB0rJLdK6BKoChgoHSs7hh8ORmoR6azaVbFZBzYyFUFQBRQUCPTxxfZM6uL5JHRgNEvIsVpxOz8OWM2k4zhW9ichNZBRYkJJbhAh/zxrft16W0SDIi4vaOlAqZ9dyaQwVDpJrsvJqhoM1CvbRbN/ZBdrNpW22CnhIerQJC0KbsCB46CXYhIr4nALsPZeJrWfSYOE0U0RUSx1LytUkVABAZJgvQ4UD5ZissNhUeOg5rsIVMVQ4SCa7qDhckxBvzWZ+KnBA16fKKu4yJaG+ry/qt/HFyHaNIOuAjEIzjiZlY8OpVKRyEUYiqiWOJ+WiX8vwGt+vogo0DdXuYpa7yCywoE6ANqGRqoahwkFS89j1ydEah3hDFYAWa1k7U6i4mKIW//gbjOjZKAI9G0XAaJCQb7UiJiMf22LScCghR+syiYgq5ViiNl0+VSEQyVDhcCm5RQwVLoqhwgEUVSCFMxg4XNNQH+hlbcZUFBRp1/2pMsxWAQP0aBkSiJYhgTD0lKAIFYm5hdgXn4ktp9NhsjlvUCIiKqHVYG29LKFZuK8m+3YniTkmtK8fAFmj73eqPIYKB1BVgXR2N3G4pqG+kDQYqK2qAoUWtcb3W52s/3aZquPjg6GtfDCsdUPo9RIyTUU4lpSD9dGpSOYsHETkhM6mF8BkUeDlUbPt1JIkISqMocLRUnLNUISADIYKV8NQ4QgSkJ7PMRWO5KGTEe5n1GTfBebad0VfFcUrgPvqjejWMBzdGobDaJBQaLPhbEY+tsekY9/5LK3LJCKCKoCTKXm4pmFgje871M8Ibw8dCi2173vAWaTmFjFOuCiGCgfQyxJbKhysQZCXZk2jzjyeojqZrQI66BAVHICo4ADc312CKgkk5RbiwPksbDidChO/WIlIA8eTcjUJFUBx19ujGo3rcAdpeWauqu2iGCocQJIkZDBUOFSjEG0WvQNqZ0vFlbD+O01tuLc3Brfwxo0t60Ovl5BlMuNESi42RqcgPtukcZVE5A60GqwNAHUCPBkqHIgL4LkuhgoHYfcnx2oS4gNVFZq0VrhLS8XllHSZ8tF7oEv9UHSpHwqjQYLJZkNsZgF2xqZj97lMCC6ZQUTVLDajQJP9CiEQ4ceZiRyJC+C5LoYKB2H3J8eqE+Cp2UAuV5v5qSaZrQIydIgM8kdkkD/uvbYZIAkk55lwICELG6NTkO+mLT1EVH1SNZph0aYKhPtrM57PXTBUuC6GCgdhqHCsUF8PzQZy5bOl4orZ/u0yFerlhYFRXhjUvB489BKyiyw4mZqLjadTNbviSESuS8u1oLSaJMRdZBVaYFNV6DVY2JaqhqHCAUwWBUVW155y1NmF+Rmh06DrkxAChbzSXmlCFLdmeOkMuKZuCK6pGwIPvQSLqiAuKx+7YjOwMzYDCrtMEdElZBVaYbGp8NDX7ImnXpYQzu5PDiUEUGRR4OvJUOFqGCocIKuQ4ykcLcLfU5M1KkwWFSpPeKuVxSYAyGgc4I/GHf1xd6dIQBZIyzfhYGI2NkSnIsdk1bpMInIyqXlFaBBUs5N2SJKEekFeNbpPd1RoVeDradC6DLpKDBUOwK5Pjhfqq9EaFez65HA2VQAqEOTphb6RXujXrC489BJyzRacSsvD5jOpiE7N17pMItJYSq65xkMFwO5PNaHArAB+WldBV4uhwgFyOZDX4QK9tLmCUWDm37amlXSZMsoGtI8IRvuIYHuXqfjsAuyOy8T2s+nFYYSI3EaaRuMqgrw9IEtgq7UD5RexddoVMVRUMyEETBaeeDqSv5des4Vx2FLhHEq6TDX090PD9n4Y3bEJZJ1AWkERjiRmY/2pVGSyGyJRrZai0QxQOllCsI8Hp453oDxewHNJDBXVTBWCqww7WJhGXZ8AcAC+k1JUAUUFAj08cX2TOri+SR0YDRLyLFacTs/DltNpOJ7CxaqIahMtZ4CK8PdkqHCgvCIbhBCajJ2kymOoqGaqAEw88XQorcZTAP9NkUrOz2wV8JD0aBMWhDZhQfDQS7AJFfE5Bdh7LhNbz6TBwr8nkcvSqqUCAAK9OYjYkQrMNihCQM9Q4VIYKqqZEIDJypYKRwrx9dBs3wpPQl1WcZcpCfV9fVG/jS9GtmsEWQdkFJhxNDkbG06lIpWTLBC5DC0XSfM18vTJkQrMCgS/bl0OPxUOUMTuTw4V5O2hWbOolSPzag1FLf7x9zCiZ6MI9GwUAaNBQr7Vipj0fGw7m4ZDCTlal0lEFUjN1a77k7cHT58cqcBsY6hwQfxUVDNJYkuFo3kadJo1i7KlonYzWwUM0KNlaCBahgbC0FOCIlQk5hRib3wmNp9JhdnG9wCRM8go0GZMgyoEfNhS4VAFFhvY88n18FNRzSQwVDial4dOsysYHFPhXqz/dpmq4+uDm1v74JY2DaHXS8g0FeFYUg7WR6ciWcOrpUTurFCjGYJUVcDXqNNk3+6iwGyDzFThchgqqpksSZz9ycG8DBqGCnZ/cmuqACxWAV+9Ed0ahqNbw3AYDRIKbTaczcjH9ph07DufpXWZRG7BZFU06QqrCnZ/crR8swKdzFDhavipqGayLKGILRUO5WXQ7gqRTeHMXlSa2Sqggw5RwQGICg7A/d0lqJKKpFwTDpzPwobTqbzQQOQA6r8To2hxgs+B2o5VyPW+XBI/FQ7A7k+O5WnQadLXUojitRCILsWqFHeZCvf2xuAW3rixZX3o9RKyTGacSMnFxugUxGebtC6TqFYotNR8qJAkcEyFg+Vz8bvLUlUVqqpCr3ee96LzVFKLMFQ4lpeHNqGC4ymoMkq6TPnoPdClfii61A+F0SDBZLMhNrMAO2LTsedcJmc6IaqEQrMC+NbsPmVJgg/HVDiU2QnW+1IUBTpdxX/n5ORkhIWFXfI+jnTXXXehf//+mDhxYpnbfH19ceTIETRp0qRGa5JrdG9ugl0dHMvLoNNkABfHU1B1MVsFZKFDZJA/xnSKxBe3dcWXo67Fy0Pa4uZ29TgI1AWpqork+f9D3Ie3IO6DYYiffi8sGfHl3rco/ggSZz+OuA9vRfxnd8IUs9d+myUtDvFfjkXcB8MQ9/FI5B9d/98+igoR99Fw5Oz6w+Gvx1UUaNBNRidLmnV/EkIge8t8nP/qPpybdjtS/3gHSmH5U18XxR9B0pwnEffxSCR+/2ip95lSkI3U39/EuU9HI3HWYzAnn/5vHzYrEmY+DFPcQYe/noqoTnCV5c0338T8+fMBALGxsbj++utL3T569GgcPXq01LaMjAx06tQJRUX/TeBx6NAh3HzzzVDVskHpjTfegF6vh6enZ6kfWZZhMBhKbZMkCTbbf+/3ESNG4MMPP4SiFJ9zpqSkYMmSJZV6re+//z6SkpIq9dgLMVQ4AMdUOJa3h0ahgi0V5CA2RcBmA0K9vDAwqh7eGdoJX4/uivdu6Yhx3ZuiSYiP1iXSZaQtehPm+MPw73EHggZPhlqUh5SfXyhzP0taLFIWvAJrZgIgSZB9g5C2+D3YclKKn+ePdyB7eCF0+Isw1m2BzFVf2h+b+sfb0PmGIKDbbTX2upydVn3vtQoVuTsXIXfn7xA2C4SqoijuINKXfljmftbsZKQufAPGBm3h3fI6CKil3meZa7+FJSUGQlWhFGQhfdnH9sfmbPsVSoG2E05oHSqys7Mxffp0tG/fvsxtJSfxp0+fRvPmzUvd9scffyAkJATJycmIjY1FbGwsfH19cfr0aSxatMi+LTY2FllZxb/jF198EUVFRaV+evfujffff7/UtovdcccduO2221BYWAgASEtLw5gxYxAdHX3VrzcmJgbPPvvsVT/uYuz+5AAWdrx3KB8Pba7iMlRQTRGiuDXDS2fANXVDcE3dEHgYJJgVBeey8rErNgM7YzPAt6RzUFUbimL2wat5DwT1vrd4mykHOZvnwXTuMLwa/XdikrvzD0iyjNBhzyF371LoA+ugyGxC/qG1CLxhLGx56Qgd/iJ8mneHsVF7JHw5FgBgijsI8/kjqDvuC01eo7MyWbT5vtXiwpYQKnK2/QJAQsjNT0P29Ef60g9QFHcQ1uxkGALr2O+bu3sxJIMnCo5tgGophE+bvqXeZ6az++DZsB0Cb7gHBcc2InfnIgCANSsJuXuWwLNpJ3g17ljjr7GE1h0D/ve//2HYsGEICgpC3759MWfOHABAfn4++vbtiyVLlsDT0xNeXl6lHvfbb79h3LhxGDZsWKntBoMBb775ZqltEyZMAAAUFBRg48aN6NOnD4QQePnll0u1aqxbtw4BAQH2f//444/2xwLAtGnTAABGoxE6nQ6dOnVCQUEBmjZtWmp/mzZtwg033AC9Xm8PRhf75ZdfymyLjo5GVFRUufe/GFsqyOV4ahQqFK2PcuTWLFYBSZXROMAfozs2xWcji7tMvXpjWwzvUB8BXgatS3RbplPbAQj4dhxi3+Z7zdDi205uLXVfS1os/LrcCu+W1wEAJEmGsWE7mBNPAABkgyfyD6yAarMgZ8t8SHojACD9zw/g1fw6eESUPlFwd4pGV7RlDc6eLKlnIazm4vdPVHd4NmiN4EHF/ekLT+8sdd+i2IOAJCFkyGMw1mtV5n0GVYE+qC4MoY2gD65fvMgWgIyVnxc/btCjNfnSylA1/L7t0aMHZs2ahffffx9AcZBo2rQpMjMz7fcZN24cEhMTcf311yMsLAxeXl4IDw/Hli1bMGrUKBw5cgTTp0/H0aNH8cMPP6Bu3bo4c+YM8vPzMWXKFBw5csTeMlBYWIi77roLDzzwAP7++2+sW7cO58+fR3JyMgDgwQcfxK5du+z7vueee1BYWGj/ef755/H666+jsLAQ+fn5yM/Ph4eHB5599lmYTCaYTCYUFRXhhhtusD9HdHQ0hBD2n61bt+KTTz4pta3k50oDBcBQQS5Iq5mrrbwsTE7EphZ3mQr29ELfyLp488aO+Hp0V0y9tSMm9IxEVGgNj151Y5Z/+6N71m9r36b39gckCdbs5FL3tWUnQx8YUWqb3j8MSl4GACBo4MMoOrsP8Z/chvwDKxA04GFk/vM9hLUIobdUvXtCbaNVNxktWirM5w4BAHza/Hdy6NmkEwDAkniq1H2V/EwEXj/GHl6B0u8zQ2hj5B9cjXMfjUDWP99DH1QfBSe2wJJyBgE33AOdb5CjX84ladn9SVVVeHp6Ijc3F2fPnsWpU6eg0+kQFxeHp556CgCwe/dudO3aFXXq1EF+fj5mzpyJbt26oaioCEuXLsXWrVsxfPhwAECvXr2wY8cOGI1GJCcnY9y4cejbt699f2FhYejRowcWLVqEn3/+GY888gg8PDywbNkyHDhwANnZ2Vi1apX9/jqdDv3790dcXJx9rMXHH3+MgoICAMCpU6dgsVjQq1cv+3gMo9F4ydd86tQprFixosq/O3Z/cgBJs9NeciSFoYKcWEmXKaNsQIeIYHSICIaHXoJFVRCfXYBdcZnYcTadEw44gFpU/GUue3pfdIsMoVhLbRHWInvrQwnJYLTfz7dtP3i37AVraiwM4U2gFuUj8+uvEDzkMaQvmQrT2b2AJCOg190I7HmHw16TqxAanXzWDfDEKze3dshzV/SSFpxeiH8AvDJmIAwe/72HHvlMRhNfFU8N/a+eRz4qwvAuTdFzSGt8vNoH4fUDERReFzvOAy8NbYW4Zh9g+osPITfTBF9vLzz4ynv47s0nERYRgRtahGDTvEdh8DBi9OSX0KbrDeVUc2U1V1aY76VPgh3pq6++Qrdu3TB69Gi8/PLLaNKkCcLCwnDy5EkMGDAAmZmZ2Lt3L6655hp88MEHaNWqFYYMGYJJkybBw8MD27dvx2effYY///wT/fr1w/fff4/x48cDKH6/tm7dGh06dCi1z9TUVEiShFWrVuHrr7/Gjz/+iOjoaEyYMAFPPvkk3nnnnVL3j4yMRKtWrRAQEIDCwkLodDo0aNCg1H3GjRuHCRMmIC8vD0ePHkWrVq0u+brXr18PT0/PUts6duyInTt3VvCIshgqyOVodUqkxTS2RFVhsQkAMhr6+6Fhez/c0bEJZJ1AXk4KIlL/AQxegNEbssEDkiQgIEFAQIWAEMWftZIfFYDAf/cRKD6RKOn5q5Zss99fQAjJvrX48SWPLX6ekquRKorX9lDtt/33PBAlj4X9ef7bX/E+Lt4OlNRVUqewvwb7tgv/a3+O//aNC+sQ6gXbgf9eQ/H/bzhaiAMHga5Bf2PjzN9xwwMjULdNU3wNFXXDrbipx/Hiewtgpk5C4ZaZyFr9OWSdDqHBZoSGW3AuQKBny23Y8tUiJB89C7+IYHSZfBu2z1gC/3rBaBJ2EvtW78L1T90B1WbDtulzMfj++vD0uzjIVJ4rXhAzeDYFEHHZ+1W3MD9PPHhDZI3u8+BvvvgHwMN9m5dam2CSJKFRiA8e6v1fPU8ajegVGYgHekfi5wBPRNXxQ3i4N2KDA/Bw72ZA72Z46/5hSEpKQt26dYuvwCtWvP7i8/jggw/g66GDJCmY+96zOH/+fJmxA7VZ165dER4eDpPJhBEjRmD8+PFo2bIlkpKSsHjxYvj4+CA4OBi5ublYu3YtZFlGp06dYLFYYLVakZ2dXer5Lpw1SpIkdO7cGTExMfZtGRkZ2LFjB+69914cOXIEPj4+kCQJAwcOxPz587Fx40bs378fS5cutT+me/fuWLBgAbKzs9G2bVtERkbCz88PS5cutc8QpSgKVFWFEAJnz569bKjo168f1q5dW6XfHUOFA/Dk0zFkGfCQZc2+9nQy/7Dk2hS1eAFHT+8I6Bv0QdeYqfA6vAqABAQ2BkKaAH71AO9gwNMX0OkBqIDVBChmjat3Xv/zteAAgKWvfgmLVcXT3tnoIJ3HV0Lgrkh/vO9b3OVk/YE4zLAp6NMiDB882A/DXlmI84ei0cVboEl9P3guWIb+wQY8+/k9+H3TCcybNg/ZKXk4Nfth9H72ZzQM9cOGoc2gQiBwpg7Do49hVL829vAmJOm/ICRJ9sAkpAsCnST9G7JKtl8Y9v79/38DJlA8YPbCx/8X/mB/Lvu2f/cPXBAs/33O/7ZdEBjxX1BVJfHv1e6S/f/bBabkNYn/Hm9/nAS08nafRdLCw8MBFE9vWtLP3Ww2Q1EU1KlTp9R969evj/j40lMax8fHIzLyv+BRcnX78OHDmD17Nm6//XZs2rQJkiThwIEDOHXqFHr27In9B/aje/fuAEpCeMm7BfawfPG/Vaj2P7I9gosLA7koc3tJq5OAQKhXaDX+5q7Oli1bkJmZCU9PT2zevBmdOnXCp59+ivj4eFx33XU4ePAg7r//fvzxxx/4448/0LRpU/j5+eHbb7/FqFGjAKBU96euXbuWWssiNzfX/rcEgP379+O6667DypUr4evri9WrVwMATpw4AQ8PDyxevBhPPfUUli5dijNnzqBly5bo3r07VFXFli1bcOrUKVx77bVo2LAhHnvsMbz22mt47bXXMH/+fHz22WcYO3bsf79bIaCqKmQHDQpiqHCAVnX8YNTLMOhk6GUJOlmGQQfoZBl6nQS9LEMnAfqS23US9JIMXcl9ZAl6WYL87391kgSdLEGnkyFL+Pc5Jcj/btfLEiRJsm+XpOIT4Avvo5P+2y5LJT/F/UJl+b9/S5IEnVx8xUqWAFmW7P8vSRf/99//x//bu+84ucqyjeO/c6bvzs723ZRN75VASEhIAgkBQxFBBEFAKVJEBUEsIBaQIqAI0sRXgSgiRRSQ0GtCCTW99163992ZOef9Y7KbLEkgye7smXJ9P59hyezMnGfbzLnmee77iX00jFi9w+7/j72Q7Hk97KqJMHbXRhh7pDCj9T9tayeMBEhqbpfzYxDpKGXubrwy8F4GlbzP4IW3YFashsp1+79DRgHk94Ps7hAsBH8I3F7AgGhjLHi0niqml6ZdexMdM6Inb8xZB8ADz88F4JKTdnfQ+XTFNvKy/FTXNTOybxF9u+awraKO9xdt5jffmcBDM+bx71+dztBeBfTtks3Nj3/ARdNGgAHbK+uYOqoXLmxcxAJi0OPCZ+9xir7nGpQ9fxSp/GMxHVom01QD2+YSezEz2PUqB8auk7WW6wx2XWe0vX7P+7W5jj2uo81tJo7oDcC///EQ1199BRgGr78a28fkuHEjoXJ9630mjj2c11+ZwY0/vgSiTViNNbzzzrv87Effh5pddT5G7Ffmgm+fh9vl4u5bbuCEr53J4SOHEXI3c+TQPrjdbrauXYFr1B5LvVrHu/e/9wyVGLtS665Quuc7rjbsUdXb9r4A4UgjhunGbXb+aepDDz3Et7/9bf71r3/x6quv0tTUxKhRo6ivr2fu3Ln06dOHBx98kFdeeYW6ujr+8Ic/MH78eHbu3Nk6SzBhwoTW5U+PPfZYazeohoYGevbsyZVXXgnEQuG8efOYOnUql156KSNGjOD666/HNE3WrFnDs88+y2WXXcaKFbGamXvuuYc///nPDBw4EJfLxc9//nP69+/P66+/Tn19PbZt8+STTxIOh7nooovYuXNnm6+tpqYG27bJzc3lhz/8IQ899FCbWa+W5U+WZXH00UfzzjvvHNT3TqGig1mWzZ1ndl4btt3ps2WpQMs7CbS5vmX6f/f1eyxvaHmXwd71rtSuO7YubWi5rQ2W1faxWo71+XG0uc2ugbU53q7Pc8C33z3GQd0zCQY6/1dXMxWSipZnTGDV2Oc5qvSfFC24DyNct+8b1pfGLvvezw3cASjoDzk9IKsY/DngDcROqKwwhOvBTs09fO763nHMWriBt+auA+DZ91Zw//NzGNGnkF7F2RR8409cPG0EF594GLc8/j4fLdvCjf94lw3bq7AsG4/H5MKvjGDGh6uZ8eEqBpXkccov/41pGPztxydxyi+fYeKwEt6et4H/e3EeMxdsIGpZnDC6t6Nfd0IwHNoosqEcVr7cqYcc7w3jdhncftf9HBHYSDDg5fu3PY9pwEn56zjxhClcdvIozpg0iKsmZTL2qbn89spvUbdjLbPXr8RqbOLCQeXw0Z9aH/ORl+ezeuVy7v7eVPKWP0qRp5b3Zr3N7L/9mAVrdhANN9Oveha8v/yAxmh87uMhC/WAsc50oHrkkUd44YUX+Mc//sGTTz7JgAEDuP/++zEMg0mTJrFp0yaqqqqYNm0aixYtYtGiRRQVFXH77be3ngtt2rSJKVOmAHDaaae1LmlqaGggHA6zaNEiAD799FNcLhcLFy7k6aefJiMjg6VLl3LXXXdx2mmnMW3aNAYOHMiDDz4IxNrJ3nLLLbhcLrxeL/369cOyLDZt2sSll16K1+vl9ttv58wzz2T8+PF89atfbS0uB9i8eTNer5fc3Fgh/i9/+UtuvPHGvb4HzzzzDPfff/9Bf+8UKjqYaRosWFdDdX1kjxPu2OfanozvOhH/3In950+8aXP7vU/G01HPogBBB5Z3KlRIqooaXj4ovJicyadw1Nrfk7Hqf19+p8+LNMC2hbHLvhgm5PTetcSqa2yJlS8TTDfYFkTqIdrcni/DMYZh8Nbvv8WYH/ydFZsr+ON/PmFk30Le/eN51Dc1U1nbyNptVQzumc/vLzuOy+95hZsei7WazQ36eOOOc8jK8HHbxcdy6q+e4ed/eweA2y4+hv++t4LtFXXMvufbjL3q73zvnlfwelz839UnkeH3OvhVJwinZrHtzt8fI+Dz8P1Tj+CvL8/njJueja1yME0uP2UUmX4PMxdsoKQgizMmDeLw/l144hdf47qH32HN1kqKcjJ5887Y71mL8uoGrv3LW/TtmstFJ8YKhy/4yghmL9nCtOueIivDS0F2gGG9HViKZDjXnNTr9eLz+SguLm6tSQiFQgwZMgTbtnG5XJSVlbF582Y8Hg+33nort99+e2uhdovMzEzq6up47LHHuPnmm1mzZg2jR49m/PjxVFdXA7BkyRKGDx/OHXfcQWZmbJPTn/zkJzz66KOMGjUKgPvuu49gMMiPf/xjevbsyYMPPsgjjzxCfX19awH2unXr2hx7f+bOnbtXkXhHUqiIg8q6MGU14S+/oRwSp/pXK1RIqqt0FfNq/z/Qr+Qchi36La7SZR334LYFFWtil/3JLIL8vpBdAsEC8IXAvWv/jWhTbLYjQYUy/bx6+9n0+fZDvHv3eUwc3qP1c5FXYztrvzV3Hdc89CZ3XX4ck0b04N+zlvF/L87D7YqdQI0e2IWN//o+W8tr6ZoXpKE5wrBL/sbTvzydB16YQ11jmKG9C/jj5VP5ypHarwJw7uTToVm3Oy+dQjhq8fibS3C5DM6fOozfXxp7R7woJ5NR/XYXrZ95zGDOPGYwk699nP7dchnWu3Cvxwv43Pzj56e0LjH+5jFD+GDxZh57YxF5WQEevvYkPG4HZoOc2Ajkc0444QQeeughevToQd++fVm1ahW2bfOLX/yCQYMGcfPNN3P55ZdTXl7O448/zrp16/jHP/7B9OnT2bRpU+vjHHPMMSxdurT13/fcc0/rTMVFF11EJBJp02I2GAy2bly3Y8cOunTpwvLly3G73SxZsoTVq1czatQozjnnHD777DNWrVrF008/zUMPPURVVRV33hnbYf3FF1/E5XK1LsmC2I7fe+5X0dEUKuIgAZb/pzSnQoVqKiRdrPYfydrR/2VM+ZN0XXA3RlNN5xy4bkfssj+eIBT0iy2xChZBICfWwcowwGretcTKmR2WD8T1j8zkwhNG8OMzxwIwZlBX5qzcxs2Pf8A/rzsVAJfLpKQwBMBv/v4uJ47pS0NzmKdnLmPOgxexYlM5p/76Gdb843sEfNrwENOh5U+WM79nPq+bB6+axoNXTdvrc+sf3/dyoXfuOm+f1+eFAmx96so215mmwb0/OIF7f3BC+wfbHg7OVOzpjjvuYMKECWRmZjJo0CCeeOIJJk+ezOjRo7nvvvuYOnUqQ4YM4Z577uH0009vc9+WfSNGjBjRplC7sbGRc845B6BNPcPixYsJh8PU1NSwYMECzjvvPH76058yY8YMTNPkqquuwjRNBgwYQGFhYWsQLCgo4MEHH2Tz5s00NjZy++23s2TJEjweDz6fj969e+P3+1m0aBHPP/98m430brvtNv7whz/s9XVHo9HW4vyDoVARB05sipNOrF3LwDq7eNuVGM9xIp3CMtx8lH8+WcecxPgNd5Gx/D8YTi+6DNfC1vmxy74YbsjrHbtkdYWMXPBmgOkBOxILHZZzs8gL1uxsU7gNcMSALrzyyd6zNwvX7uCJt5ey6K/f5fanPuS8qUMJZfo4clBXSgqyWL6xnFH9O7+VasJxOVSoncDhNSU4VSvzOSeddBKXXHIJEFvmeM455/DKK69w6qmncsYZZwDw5JNPsnDh3ss+W5Y/LVy4sM0eEnvOVOxZz/Dwww9z9913A3D44Yfz9a9/nUsvvfRLx5iTk7PX7T755BMuvPBCXC4XX/va15gyZQpLlizhnHPO4fDDD2+93S9+8YsOrakwbKd2jklhHyyrYHtlcq4NTgZH9g/RPd/f6eHNtm2e++gL3kUVSWG9m+YzYvFvce/YT81Esgh22bXEqjtkFoIvuKuLlQ2RxlhtyCFat61yn8ufWvS/4CFOHdefu684vvW6k37xNAAv37Z7Izvbtjnmx49z8bSRXHTiSK564HV6F2e3znDElkSdts/lLGln4s9jTQE6k23BjkWw8InOPW46KRgMoy5wehT7dSBtWd955x2mTJnCxo0b99qYbn+i0Si2bbeZwdjf8ZcvX86QIQe3AWM828mCZiriQjMV8eXQrHNrK11tSCzpaJ3vMNYf/jSjK/9Dyfw/YDRWOj2kQ1O7LXbZH192LHS0LLHyZ4PHf0hLrCzL5uQbnm7tyHPlaaO57uGZDO6Rz1GDu/Hs+yt45ZM1zLjlzDb3e/TVBdg2XDhtBAATh5fwy0dnMX5odxas2UF9U5iBJXmH/C1IKU7MVNg2RLRvS1wlyPKn/TmQE/PJkycf9I7vey6T+rLjH2ygaLlfPClUxIEKeuPLammH5cC32eUysCJKFZKebMPFp7nfZOkxJzB+458ILnsSI9WWgTRVwZa5scu+mB7I6wt5vSCrS2yJlScjtrbf2/Z7EY5EWbqhjC1ltQBc9fUjsYE7n/6IzaU1DOiex7+u/xqnHNW/9T7l1Q3c8OgsXrv97NYlnmdOGsx7izZx8g1PU1IQ4qkbTnOmeDYRuZ1Y/rRrVkviJ8FDheyblj91MNu2mb+uhrXbD30KXb7Y8J5B+nXJwHQgvL0yZycNzSl2EiVyiHo2LeawpTfj3jbH6aEkluySWF1HqDtkFsSWWLk8gLVriZVOSDuE6YHjftv5x7WisPZtWPtm5x97l/mrt3PRH17i3h8cv8+ldgB/e2k+v3tyNptKazisbxF/vmoaowfGdt7eUVHHxXe9xMwFG+nbNZtHrj2l9XNNzRFGXPYwD/1oGscd3ruzvqS2uoyC4Wc7c2w5ZJqp6GA2sR2vJX6awpYjsxSgWSiRPW3wDWPDYU9wRO/n6bngDoz6MqeHlBiqNsUu++PPie1OntNj9+7kHj+x3clbWufq/b4v5XFgwyKILYWLOhMM56zcxu1PfsiMj1bR0BTZ7+2efW85P7j/Nf50xfEcMaCY3z05mxN/8RQrHr2c3Cw/P//bO+SHArx/z/k8M2sZl93zMp89eBEAtz/1IWMGdXUuUAC4/bFlZlpOnlQUKjqardaj8dYYthyrW1GoEPkcw2BOzuksm3gc4zY/QGjJPzBSdOfsDtNYCZs/i132xeXdtcSqNwSLdy2xCsSWWNkRaK5L2d3JD4onw5njGqZjs03/fW8FPo+LGTefydSfPbnf2/3uyQ+55MTD+N6psU4///z5qfQ470Eee2MRV339SD5evpV//+p0hvYqoH+3XO76zycArN5SwZ9fmMu8hy7qlK9nv9y+WO1SgnSBkgOjUBEHChXx1RR2bvmRSz9bkX2qN0O81eN6uhefyeHLf4tn80dODyl5RZth57LYZZ+M2CxHXm/I6gaZ+eDLApcbsCDcEJvxSHVOhQpwLFTcfOEkDMNg3bbKL7zdkvWlXHbyqNZ/Zwa8HDmgCx8v3wpASUEWMz5cxaCSPJ77YAVDeuQD8MP7X+eGc8fTJS8Yry/hwLj8ODlbV1VVRXZ2duu/ly9fzqZNm5g6deoBP0ZNTQ3nnHMOjzzyCMXF6dH+WaEiDtza0CCuGh0MFR6FCpEvtNk7gM0jHuOwXi/RZ/7vMOq2Oz2kFGRD5YbYZX8C+buWWJXE6jr8IfD4SKklVk6GimZndnc/0P2Z8kMB1u+oanNddf3uVve3XXwsp/7qGa57+B2KczN59jdn8MysZWyvqOP7px7RoWM+JO5dywEdUFNTw4gRI7jpppu46KLYjM3ll1/OCSeccFChIisrC6/Xy7333sutt94ar+EmFIWKDmYYmqmINydnKgJeTcWKHIj5oZNZNvFYxm95iJzFD2NY+1//LXHQUAabymDTx/v+vNsPef0gt2esi1UgB7yB2NKeZFli5WSoCDsTKg7UmZMG8dCMuZwyth9HDOjCw6/M55MVW/nK6D4AjB7YhY3/+j5by2vpmhekoTnC2bc+z9O/PJ0/PfspD74wB7/XzR8vn8pXjuzT+V+A2+dYPUVWVhavvfYap5xyCjU1Nfh8PmbPns2iRYtaN6fbU1VVFU8//XTrZnif99xzz3Hbbbe1uc7lchGJpN5zokJFBzMMQ+9mx1lz2HJkR22ADJ9ChciBajIyeaf7tXQp+jqjV9yKd+O7Tg9JWkQaYcfi2GVfDBNyeu1qndsNMvPAG4wtsbKt2CaBTi+x8mY5d+xwnXPHPgA3XTCJTaU1HH31YwBMPqwnx43qRVHO7iDmcpmUFIYA+M3f3+XEMX1paA7z9MxlzHnwIlZsKufUXz/Dmn98j4DP07lfgIMzFY2NjQwaNIjZs2cze/ZsLrroIt555x2mT5/OnXfe2WZZFMARRxzBokWLOOqoo3jvvfe+9PE3b95Mv3794jV8RylUxIFCRXzZQDhi4/V0/vc5U6FC5KBt8/TlxWEPM6Ln6/RdeBtm9WanhyRfxragYm3ssj+ZBZDXH3K6715i5fYB9q4lVg3EdYmVP/vLbxMv4cRuGx8MeHnql6fz17om6hrDdM0PMvzSv3HKUXufzC5cu4Mn3l7Kor9+l9uf+pDzpg4llOnjyEFdKSnIYvnGckb17+SaAE/AsZmKG264gSVLlvDEE08QDAZ5+umn+eijj5g+fTqvvvpq6+1CoRALFiwgGo1yzDHHcMIJJ3zpTtgAXbp04aWXXornl+AYhYo48LhVUxFvTRELr6fzv88ZfoUKkUO1MOsElo+byLgdfyNv4V8wos1ffidJXHWlscvG/Xzek7lrd/KekFUcW2LVcrJohXftTt6OJVZOhYpIc+IvDdsllOkjlOlj5vwNrNhUzjcmDmrzedu2+f69r3HrRceQFwrQ2BwhHNm9xLi+KeLMOY3boXbBwI033sgpp5zChAkTePfdd/nkk0/4y1/+QlVVFRdeeCHnn38+X/3qV1tvH4lEME2T8ePHH/Axpk6dyle+8pV4DN9RChVxoH0q4q+hOUpWoPN/fTVTIdI+zWaAWV2upLDgNMas/B2+9c5tICZxFq6DbQtjl30xTMjrA7m9Y3UdmXngzYxtamdHYqHDCu//8X1OhYrEq6ewLJuTb3iay04exRmTBvHR0i1U1DbSsyjE/NU7uPYvb3H9OePpURRqc79HX12AbcOF00YAMHF4Cb98dBbjh3ZnwZod1DeFGViS1/lfkNvf+cfcJSsri5deeonf//735Obm0q1bN/7yl7/g9+97TJFIhGAwyL72kp48eTLnn38+l1xySbyHnRAUKuJAhdrx19hsYdl2p+9X4fOYuEyDqJXkXVNEHLbT3ZOXhvyZIT1nMXDBzZhV650eknQ224Ky1bHL/gSLY3t2tHSx8gV3L7FyaqaisdKZ436BcCTK0g1lbCmrBaC0up7L73mVnVX19C7O5vpvjeOHp41uc5/y6gZueHQWr91+dmuN4pmTBvPeok2cfMPTlBSEeOqG0/C4HXgzzamNDXfxer38+te/5sMPP+Sss85qvb68vJw33nijNWAcf/zxRCIRPJ5OrjlJUIa9r2gl7WLbNs9/tCPZm/UltOE9g/TrkoHpwKzQm/PLqG5Iva4NIk5xW02M2zmdgoUPYkQSe626JAh/Nlz3BS1148WKwvYFsPjpzj92ujBcMPUWR4fwwgsv8Lvf/Y4PPviAN998kzVr1nDppZdyzjnntC5/+va3v80jjzxCv379eP3117nvvvt44IEHDujxX3/9dY4//vg4fxWdT4v/48AwDEfW+6eTxrDlVGMIMvz62Yp0pIjp473iy5k15WUa+p7k9HAkGeT0cujAdkLOVKQUJ1sF7zJ37ly6d+8OwMaNG1m8eO8uaa+//jrRaJRwOIzP5+P+++/Htu02l2OPPZa//vWv2LbNPffcw8aNG7FtOyUDBShUxI1foSKumsJWpy99aqG6CpH4KHd145WBf2LxMX/HykvNlovSQXIdChWGS6Ei3ryZTo+ATz75hCOPPLL134888gi9e/fmhRde4Lvf/S69e/dm586dADQ3N++33mJPNTU1nHDCCZSWlsZt3E5TTUWc+BQq4srJXbW1V4VIfK3IGM/qMc8ztvSfFC+4DyPB9wQQBzg1U2EYChXxlgAzFR999BHXXHMNABdeeCEXXnjhPm9nWRZ1dXWEQqF9fn5Pv/zlL/F6vTQ3p27XO535xolmKuLLyV21FSpE4i9qeJldeDHvTH6F+gGnOT2cNnbWWVz4XAP5d9YQuLWa05/cdzcg27a5/+NmBt1fi++WanreXcOy0lgr0h11Fl/9Vz1Zv6vmsIdq+WzL7halTRGbgffV8tZa1W7tV54Duzy36HMcDD4deh0LxSMg1CPWPlc6hsOhYvny5ZSWljJ69Oh9fn716tWsXr2aqqoq/v73v9O9e3dOPvlkDMPY6zJz5kwuvfTS1n///Oc/p3v37hiGwR/+8IdO/sriTzMVcWDZNj6vQkU8NTY71yNcy59EOk+lq5hX+/2eft3PYdiim3CVLnN0PDVNNsdMr6dntsGzZwcI+QxWlu37TY5fvd3EX+eE+cMJPo7o6mJ1hUXQG1u2+fM3msjPMHj/4kyeWRLmshkNfHZZEIDb32tmTHeT4/roJXq/Coc4d2zTC0UjYl2ozD1eD6JhaKyChlJoqICG8tjHxl3/H2l0bszJxJMBtu3Y5nfz5s1j4MCBe+2c3eLZZ5/luuuuwzAMevfuzX333ce0adP22VL2i7hcqXcuoe5PcWBZNmu217Nwfa3TQ0lpp44pcqR9bzhqMeOTnZ1+XJF0Z9oRxpQ/TdcFd2E01TgyhhvebOSZpREWXpGJ9wuef5aVRhn+YB1vfieDY3vvHQ6GPVjLv88KMLTQRX3YpvD3NdT9IsTqcosJj9Qx73uZdAnqzan9+tlayHBg/4T6Mriz7+5/Z/eAkrHQdQQUDIxt9BcsBl9WLHQYe/wMI02xpVP1pbuCRsXu8NFYAdoMMqbPFOgztW1g62R1dXVkZmr26WDpbZB4MFRT0RlqGiLkBju/N7THZeJxG4QjyuMincky3HyUfy5Zx57IuPV3kbn8GYxObt49fX6YX0z0fWGgAPjH/DCHdzX3GSgASkIGM1ZEGJRv8tyyCEMKYq8ZP3y5gRsm+RQovkhWV2cCBUD52rb/rtoYuyz+z75vnz8ASsZAl+FQMCAWQjKLIa8fuLxtQ0e4IRYu6ss+N8ux66OVJsvhvFlOj0CB4hApVMSBaRiqqegEVfURsjPcjuxVkelzURlJkyd4kQRTY+bxep9b6d31bEYsuQn3jv3s2NzBNlRZbKmxCflg8vQ6Fu6wGFpocvc0P0d2a/uu6oeboowscnHtq408tiBMjt/g8tEefjzei2EY3Hacn1OfqOe6N5ooDsaWUj2zJMz2Wpvvj9FGWl+oyKGlT9EIlK08uPuUrYxd5u/jc4YJRcOgZDQUD4f8/pBdAlklkD9wV+jY4/WtuW5X2CjbPcvR2BI+qsB2bllwh/LntA1bkjQUKuIk4E29tXKJpro+jGF8eRu3eMgKuKmsU6gQcdI6/0jWHf5vjqz8DyXzf48R5648W2titRN/mN3MLyf5KAkZ3PZeM9P+Wc/KK4PkBXafAG6ttVm8M8LFozy8dF4G766P8NPXY3UUF47yMrqbi43XBNlaa9M1aNAQgbOfqeXpMwP86aNmHvykGb/b4I/T/Hyln16q2yga6tCBbahY14EPZ8H2hbHLvri80PUw6HYEFA+D/L4Q6g7ZfaBwKJie3aHDtqC5NhYw6st2h42WWY7Gqtj4k0Egz7F6CmkfPVPFiZY/xV91fRTDoSeevKCHjaUquhNxnGHyae5ZLD3meMZtvJesZU9g2PHpDhfZ9bDXjvdy1rDYbMI/TndR9IcaZqwI853DvG1uO6zQ5HfHx974OLKbiw82RfnH/DAXjordzmUalIRiz2G/ebuRE/u5aYjA04sjzLk8yIoyi1OfqGfNVUECHp1ktXIqVLg8ULa6844XbYZNn8Qu++LJgO6jodvhsdmbvL6xpWH5A8Dtj423hW1BUzXU75rpaKxoW0zeXEvChA7/vgukJfEpVMSJx21iGLEGBhIfVfVhx46dl6XlCSKJpM7M5c1ev6FH17MYtfRm3Fs/6/BjFGXGTuz75+1+0yg3YFCUabC91t7rtnveDmBgnslzO/ee4Vy4PcoTi8Is+n6Q299r4rwRHkI+gyO7uSgJGSwvsxjVRbPfrZxa/gSwfe+dlR0Trod178Yu++LPgZIjoeuo2PcstzdkdYl1znL7wdzjFNCK7Aod++pcVQGdtVeMyxsbmyQlhYo4yvC6qGtKkTWOCag5YtMctvA6MCsUynDjMiHq3HYZIrIPG71D2TjyXxzR63l6LrgTo77jdq/tl2dSlGnw4aYoR/eIvXyW1lvsqLMZmN/2eejoEhevrm4bIBbvtPa6nW3bfP+lRm49zkdewKAxAmFrd0CpD4MmvvdgmA7WVIQPvqbCSY2VsOqN2GVfgsW7QsdhUDAoFjqCxZDVfVfo+Hy73Mp9LK3a9f8d1S7Xp1mKZKZQEUeZfoWKeKuqD1MQ8nb6MijTMMjJ9FBW49xsiYjsh2EwJ+d0lk6cyvgtDxBa/HeMDihiNQ2DH4/zcvOsJrplmfTNNfnlW40MzDc5sb+bE/9Zx2WjvZwxxMP3x3h58NNmrnq5kQtHeXhzTYQXVkSYeWHbjb0enRfGtuHCUbHZz4k9XfzyrSbGl7hYsN2iPrx3YElruX3AE3Dm2GWrYifXqaJ2Oyx7MXbZl+yesc5VXUfGOlfl9IJgUezjPtvltnSuqti7puNA2+X6c9r9ZYlzFCrixLZt7bzcCarqI+RneR2p6coLKlSIJLIGM4u3Sq6jW/E3OGLZzXg2f9jux/zZBC/1YZsfvdJIdZPNlN5uZnwrdpK7tDTWHQqgT67JS+dmcPWrjfzls2Z655j864wAE3vuftktb7C54a0mXjs/o/WNkTOHunlvQ5ST/1VPScjkqTMz8DiwH0/CKjnSmeNGI7B1njPHdkrVhtjli9rl9hgT61xVMDDWueqL2uXu1bmqZY+Oyt3tcv05jm58J+2jze/ixLJsVm2rZ/EGbYAXT70KAxzeN8uRgu0t5Y18tKKq048rIofmsOqX6LPgdozabU4PRQ7VKXfBmEs6/7hWFF7/Ncy+v/OPnYwMMxY2uo/e1blqV7vcjALwZuyjXe6uzlUuD2QUOrrxnRw6zVTEiWHE9jKQ+KpuCDvaAUpEksf80Mksm3As47c+RM6iRzAszTQmnR7jnDmu6UqsIu1EZ1uwbUHssi97tsvtMizWuSrUHTKL1OEmiSlUxIlhGAQDChXxVlPvXM2K3+si4DVpaFa1tkiyaDIyeafbtRQXnsGRK27Bu3E/nXMk8fhCDu5Rwf73k5CDt792uZe+Dd2PcGZM0m6q/oojzVTEX8SyqXewGF6tZUWS03ZPH14c9jArJz6IFeru9HDkQHQfDaZDpy31ZVDXcZ3EZD9yezs9AmkHhYo4crtMFdh1gqr6CE6VBmkJlEhyWxQ8npfHv0TZqCuxXT6nhyNfpMdRzhzXtmHrfpbxSMfxBiEjz+lRSDsoVMRZpl+zFfFWXR92bAmmQoVI8ms2AszqciXvTXmJxt7HOz0c2Z+eDoUKKwzbtPQp7jRLkfQUKuJMS6Dir6o+gmk6MyOUnenBoUOLSAcrdffg5cEPsmzS37Byejs9HNmTYcb2THCCywvb5jtz7HSS18fpEUg7KVTEkWXbmqnoBNX1kS+/UZy4TIPsTM1WiKSSpZnH8OLYF9hxxE+w3Q5ttCZtFQ0DX5Zzx18/27ljp4vcPrHWvZK0FCriyYZMvxpsxVtNQ5TmiHMdmLQESiT1REwf7xddxqzJr9DQ72SnhyP9Jjt37OqtUL3ZueOni7w+sVa0krQUKuLINA1CGQoVnWFnVTOWQ4UV+eoAJZKyyt1deWXAPSw+9h9E8/o7PZz01d+hWpdoBNbNcubY6aZoGJg6Z0pmChVxFgroD6Qz7KhqxqnShqIcr+oqRFLcisA4Zox5nm1H/gLbG3R6OOnFG4SeRztzbNOEDR86c+x0Uzys7S7bknQUKuLM7TIIePVtjrfS6mbHdtb2uEwKs72OHFtEOo9leJhdcCFvH/sKdQNOd3o46aP3JHA79BxrmLD+A2eOnU6ye4BPYT3Z6Wy3E2RrCVTc1TZGaWx2rsCra67624ukiypXEa/1u5MFk58gWjDE6eGkvgEOtvltrILS5c4dP10UD3N6BNIBFCrizLJt1VV0kh0O1lUoVIikn9X+0cwY/R+2jLkR2xdyejipy6l6Cisa6/rk1EZI6aTL8Fj9iiQ1hYpOoFDROXZWO1dX4fe61AVKJA1ZhpuP8s/lzWNfo3bQN7EdexZKUfkDnN0Ubf37zh07nRQPVz1FClCoiDPTMMjO0MlmZ9hZ5VxdBUDXPM1WiKSrGjOP1/vcwrwpzxApHun0cFLHgBOcO7bpgg2qp+gU3Q6Pfb8lqSlUdIJgwKUA3gkami3qm5yrq+imUCGS9tb5RvDCqKfZeNSt2IFcp4eT/Jxa+gQQaYKt2kk77jwByOnp9CikAyhUdALTMAhqZ+1Osb2yCctyZv1r0O8mK6Cfs0jaM0w+zT2L1ye9SvXQ87ENvdQeEn8O9DnGmWNbUdgwG6JhZ46fToqGxLpsSdLTT7GTqK6ic+ysbsZ0cNOIbnl+x44tIomlzszhzZ6/5tMpzxLpeqTTw0k+g04Gl1PLhw1Y/pJDx04zxSNUDJ8iFCo6gWXZ2gSvk5RWO/uukrpAicjnbfIO4YWRj7Nu/B+wMwudHk7yGHa6c8c2TVjxmnPHTyfFw8DSjFAqUKjoBIYBOZkq1u4MTWGLmgbn2tLlBj3a7FBE9mYYzM3+Gq9OeIXK4d/FNrRU8gv5sqHvFOeOX74GKtY6d/x00nUUmDpHSgU6++kEhmGo3Wgn2l7Z7FhdBagLlIjsX4OZxdslP+fj4/5HuPt4p4eTuAaf4twu2tEwLHvRmWOno+JhaiebIhQqOonXY5Lh07e7M5Q6XVeRq7oKEfliWzwDmDHi76w++l7sYFenh5N4RnzDuWO7PLDiVeeOn06ye4Av6PQopIPoLLcT5Wq2olOUVjdjO1j0lR/y4HHrXRcR+XILQify8oSXKB/5PWwtAYnJLHR26VNzXazzk8Rf8TCnRyAdSKGik1iWrSVQnSQctSmtCWM5FCxMw1DBtogcsCYjk5ndfswHU16kuadDLVQTydDTndsILRqBlW+A5VxtXlrpeljsey4pQaGikxgG5GU5tD40DW0qbcTJuYLeRQEHjy4iyWiHpzcvDv0bKyb+GStU4vRwnDPybOeObbpg5SvOHT/d9Do61mlLUoJ+kp3EMAxyMtyqReokW8obcbLrdX6Wl2ztTSIih2BxcCovj3+R0lE/wnal2axn0VDoMca54xsGrHzdueOnE9MFPcZq47sUop9kJzJNQyeanaQ5YrOjstmxJVAAfYo1WyEih6bZCPBulx/w3pSXaex9gtPD6TxHXODcsW0LtsyDup3OjSGddBkJngynRyEdSKGiE9m26io606ayRkwHp4Z6FATwuDQ1JSKHrtRdwsuDH2DppIexcno7PZz4cgfgsHOcO75tw6L/OHf8dNNzHFhRp0chHUihohPZtjpAdaat5U1EHdyvwu0y6Fmo9rIi0n7LMifx4tgZ7DjiJ9juFJ0FHXY6BHKcO77pgsXPOnf8dNNzAji6UFk6mkJFJzJNg3wVa3eaiGWzraLJ4SVQmtoVkY4RMb28X3QZsya/QkO/U5weTscbfaFzx7Ys2PQpVG10bgzpps9EMLUkPJUoVHSyTL8Lr/Yw6DSbSp1dApUVcFMYUpAUkY5T7u7KKwPuZtGxjxHNG+D0cDpG4ZDYchinGMDCp507frrJ7weBXKdHIR1MocIBai3bebZVNhGJOju9qoJtEYmHlYGjmDHmObYd+Qtsb5LvSuzkLEWLJc87PYL00fPo2JpwSSkKFZ3MsmwKQ6qr6CyWHWsvazlYW9E1z4ffqz81Eel4luFhdsGFvH3sq9QN+LrTwzk07gAc5uDeFFYU1r0PNducG0O66TVeGwymIJ3pdDLTNCjKTrO+4w7bVNaIaTq3BMo0DG2GJyJxVeUq5LV+dzB/8pNEC4c6PZyDM+JMZ5fCGCbM/5dzx09HvSeBS2+wphqFCgeEMtyqq+hEO6qaaY5Yjo6hT1FAGx+KSNyt8R/BjCOeYfPYG7F9IaeHcwAMmPAjZ4cQbYalLzg7hnQSLIacnk6PQuJAocIhKt7tPLYNm8saHe0C5fe66JqrGSoRiT/LcPNx3rm8eezr1A4+G5sEfkdj0MlQ4GCxeTQMS2dAU41zY0g3Pcc7PQKJE4UKB1iWTWG2QkVn2uhwFyiAvmovKyKdqMbM5fXeNzN3yn+IFB/m9HD2beLVzh7f5YEFTzg7hnTTa3wszEnKUahwgOoqOl9ZTZjGsLM7dxZme8kKuBwdg4ikn/W+4bww6ik2jPsddiDP6eHs1mMc9Bjr7BjqdsLqt50dQ7rpfYzqKVKUQoVDMv0uAuoI1Kk2lTq7BAqgXxfNVoiIAwyTz3K+wWuTXqF66LexjQR4/XF6lsKKwid/UxeizuQLQeFgp0chcZIAzyrpq0B1FZ1q7fYGx5dA9SoMkOHTn52IOKPezOHNnr/i0ynPEel6pHMDKRwMA0907vgtPvu70yNIL/2mgKnXwFSl/dEd0lJXsbG00emhpI3axijbKpooyvE6Fi5M02BQ90zmrlFRoIg4Z5N3MJtGPs7hvWfQa8HtGHU7O3cAR1+Joy3xomFY8QrUbHVsCDvrLH76ehMvrIhQH7aZ1s/Nc+e0nc3ufU8N66v2nmE/ro+LN7+TyY46i4ufb2Tm+gh9c00e+VqA0d1iy2ybIjYj/lzHQ1/1c1yfBDndG/CV2Pdey59SUoL8lqUf0zQoVrF2p1u1rZ4uDndh6lkYYPnmeuqbnK3xEJE0ZxjMzT6VZROmMG7LA2Qvno5hd8LzUqg7jPhm/I/zRVwe+Pivjh2+psnmmOn19Mw2ePbsACGfwcqyvVufz7wwk/AeV0csm2On13POsNhJ+c/faCI/w+D9izN5ZkmYy2Y08Nllsd3Vb3+vmTHdzcQJFIYR6/alQJGyEuQ3LT35vS6Cfhe1jTq57Cw7q5qpaYgQ9LswnJqtMFpmK6odOb6IyJ4azCBvl/ycrsXfYPTyW/Bs+iC+Bzzmp+B28E0124KK9bB2pmNDuP29JiwbXvhWBl5X7LVoVJe9G3n0ymm7VOjhOc0E3HDhqNiJ+cebo/z7rABDC130zzO5a3YzAKvLLf78aTPzvpcZ56/kIHQ7HDISqFGAdDgtbHOQbdsU56gLVGdbuaXe6SHQs9BPpk+doEQkcWz19GfG8OmsnnAfdrBrfA6S1w8O/3Z8HvtgfPwXRw8/fX6Yq8Z6WwPFgYhYNre+28QvJvnw7LpfSchgxooIUcvmuWURhhTETut++HIDN0zy0SWYQKd5A6apKD7FJdBvW3rqlqdQ0dk2ljYQjjrbBapltkJEJNEsyJrGy0e/TPnIK7DNDl6qMuUX4HJ4kUQ0DPOc25tiQ5XFlhqbkA8mT68j/84aJj1ax6dbvnjVwjNLIlQ22nx75O6fyW3H+bnnw2Y8N9dw7WuN3H+yn2eWhNlea/P9MQm2zGjwKWDozbRUplDhIMMwyMvytL7jIJ3DsmHNtnrH28v2LPQT9OsJVkQST5OZwcxu1/DBlJdo7nlsxzxo8QgY/o2OeaxDFQ3DgqehsdKxIWytiRVJ/GF2Mz8Y42XGtwLk+A2m/bOe8ob9vy49+EkzF43yEvDsPmcY3c3FxmuCbLgmyKZrggwvcnHta438+RQ/f/qomf731jD8wVpeW+3wDEGwGLqMcLY4X+JOocJhpmFQlKOC7c62dnuD00PAMAyG9gg6PQwRkf3a4enFi0P/yvKJD2Fl92jfg039lfMnlS5PbG8KB0V2FV5fO97LWcM8jO/h5h+nB6huspmxYt87TS/ZGeXdDVEuOWLv2QeXaVASMnGZBr95u4kT+7lpiMDTiyPMuTzI9NMDXPBcAw1hB99IG3ACOPxGnsSfQoXDLNumq8PdiNJRY9iKbYZnOfsk1z3fT24wwaaoZS9vv/Q0Z4zvwsxXngFg4afvccb4Lm0ut157/hc+RjjczL8fvZubr/lWm+sbG+q458YfcP7xA/jBWeOZ+2Hb3X1/ecXpvDnDuaUaIgBLgsfx0rgXKR31I2zXIbxm9RgHA6d1/MAOhhWBzXNg6zxHh1GUGQtW/fN2n4LlBgyKMg221+77Nenfi2P1EkMK9z+7vXB7lCcWhfnd8X5eWhnhvBEeQj6DI7u5KAkZLN9Hd6lOM/DE2GaDktLU/clhpmHQJdeHYSjEd7bV2+rpWRhwehgM7xnk3SUVTg9D9qO5qZEn/3pnm+tqqivIK+zKzQ/8t/U6X2Dfu6VHo1H+98Sfefk/j1JZtpOhhx3V5vPP/+vPVFeW89sH/svKxXP4029/yKMvLsIwDN5+8Sksy+K4U87p+C9M5CCFDT/vdvkBBQWnMWb17fjXvnbgd5766/gN7ECZbpj1e6dHQb88k6JMgw83RTm6R+w0rLTeYkedzcD8fb/X++yyMKcP3v8pm23bfP+lRm49zkdewKAxAuE93jSrD4PHqbeRXV7oP9X5WhqJO81UJACPyyQ/S+9Wd7bKughlNc2O11YUhLx0ydUSuET170fvpv+QUW2uq62uJCevkK49+rRe8gqK93n/5qZG3prxFGdd9GMmHn/aXp9fuWQup3zzu/QdNIJpZ1wAQHVlGbXVlTz+0O+4/Kd3ONb+WGRfSt0lvDzofpYe8whWTp8vv0P/46H3hPgP7ItYUdi5Ala87Ow4iL2Z+ONxXm6e1cSTi8J8vDnKuf9pYGC+yYn93Zz4zzr+u3T3MqjKRpv52y0m9dz/LMWj88LY9u5WsxN7unjo0zCzN0b4y6fN1If3H1jirtfR4Nn3my6SWhQqEoBl2XRRa1lHrNpS79ju2nsa1iML50chn7du1RJe/e/fuejq37a5vra6klDOgfVbD2Rkct+T73LC187bZzjIL+zGnNlvEY1EWDLvQ0zDJJSTzz//fBsTTjiNXv2HdMjXItLRlmVM5MWxL7DjiJ9i7++k0XTDV27p3IHtcxwumHVnwiwJ+NkEL1eN9fKjVxo5dnodbtNgxrdi38OlpbHuUC0+29UV6vCu+w4V5Q02N7zVxJ9P8bc+x5w51M2J/d2c/K967v+kmafOzHCuKUzLLtqS8jQXlQBM06Bbno9FG2qdHkra2VLRRENTFL/XdPTd4FCGm56FftbvbHRsDNJWc1Mj9/zm+5x50dUUFHVr87maqnIWfDKLb03pQ0FxCWOPmcaZF15DIOPg2wR/44IruelH5/DNY3oQyAhy1W/uZ9XSecyZ/SZ/ety5zblEDkTE9PJ+0aXkHnsqR629k8DqGW1vcOR3ocjhYGxZULMFFv/3y2/bSQzD4KYpfm6a4t/rc+uvzmrz76l93di/Ce33sfICBluvbXsf0zC49yQ/95609+N3usGnaBftNKFQkSAy/W7tru2QVVvrGd7L+S5MQ3oE2VzeRMThPTQk5tE//ZpQTh5fPfuyvT437esXMPErXwfbZvnCT3nyr79n66a1/Oy2hw/6OEVde3L/U+9TtnMrOXmFmKaLn118Ihde+Rs+ee81npl+N9FolLMuuobJJ53VEV+aSIercHfhlQF/pH/JOQxdeBOu8pWQkR/bl8JphgGz/qBCYSfk9YXc3k6PQjqJQkWCsHd1gVq51fndntPNup0NDOkRxO3wlhEBr4thPYLMX1fj7ECE1//3OB++8xJ3/eNNTHPvVaJdSnq3/n+/wYeREQxx72+vpKqilOzcgoM+nmEYrbMhL/77b4Ry8ug9cDi3Xns+t/z5OZoaG/jFZV9lxOiJ5BfFaadjkQ6wKjCWNWOeY2zZExR374YZyHF2QLYN9aUw/1/OjiNdDZwWC3Om9mRKB6qpSCDd8xNgmjINRaI2a7Y7vxkeQJ/iAHkq2nfcf6bfQ011BVd8YyxnH9uLs4/tBcADt17DD8/eu+C076ARAOzctqldx60o28Ezj97DJdfexvyPZ3LkxBPIzS+iS/deDDnsKFYtndeuxxfpDJbhYXmvizFGnev0UAAb3rsHIk1ODyQ9DXN4s0PpVJqpSBCGYZAb9JDhM6lvcrCXdJpasbmOPsUBTId3NzcMg8P7hnh7QRkOb6GR1m68999EIm0LC6/61iTOvfw6xk0+Za/br1wyF9M0Ke7Ws13HnX7vjUz7+nfo1qMvn773GtHI7l1wm5oacLn1lC2JzwBG9Q0lRteyplr47FGnR5GeQt2hxxinRyGdSK9QCcS2bUry/azYoiVQnS0ctVm+qY5hPYOOvxCGAm4Gdc9k6aY6R8eRzvZc3rSn3IJiupT05vGHfkf/IaMo7t6LlYvn8NgDt3DC6d8mKzvWEere315J/yGjOPms7x7wMRd++h4rF8/hB7/4IwBDRo7lv4/dx5iJ06ivq2bVkrkM+vV97f7aROKtT5cAOZkJMONqRWH2/dCs51JHDPu6lj6lGYWKBNOjIKBQ4ZDV2+rp3zUDn8fZTlAAA7tlsrmsieqGyJffWDqdYRg8dMdPaairpbh7T8666BpO/uYlrZ/ftG7lQdVWhMPN/N8frueSa2/F64stgxww7AhOPfty7v7N9whkZnHlr+5tDS0iicrvMRla4nzjCwAijfDx/zk9ivQ18puxInlJG4ZtJ8BCcmnjjfml1DSoS4UTehX6OaJfttPDAKC8JszMxeVOD0NE5ICN6Z9NSUEC1AfaFrx1C7x7l9MjSU95feGquU6PQjqZCrUTjLVrCZQ4Y8PORmobIglRtJ2X5aFfF+1CKiLJoSjbmziBoq4UPnzQ6ZGkr5alT5JWFCoSjAH0SIQn5TRlA4s21CbELtsAQ3sEyfDpz1REEpvLhMN6Z335DTuDYcJbN0O4wemRpK+R34z9HCSt6CeeYAzDINPvJidT5S5O2VrRRHltOCFmK9wug1F99r+TqohIIhjRK4tgIAFet6wolK2CeY87PZL0VTg4dkmQN+ek8yhUJCAtgXLeovU1CTNbUZzj0+yViCSsrrk++hQnyFJN0wWv/VJLb5w08myw1GQkHSlUJCDTMHQS6bCymjBbK5oSYrYCYu8Cet2JEXJERFoEvCZH9EuQ2dRoBDZ+BMtfdnok6cswYNS5YCbArFUCa25udnoIcaFQkaD8Xhf52lnZUYs31JAop/E+j8nIRFmvLCKyy+h+2XjdCXIq4XLDqzc4PYr01msiZHVxehTtsm7dOgzD4L333ovL4//sZz/j17/+9T4/N3z4cN555524HLczJMgzgXyeZdmarXBYTUOUDTsbE2a2okdBgC45XqeHISICxPbTKcxOkOekaBiWvgCbPnF6JOlt5Nmxn0WKmz59Oi6XC7/f/6UXwzBYtWpV631PP/10HnzwQaqqqhz8CuJDoSJBmaZBj4IALv2EHLV0U22sJVSCOKJfNgGvfilExFm5QQ9DemQ6PYzdDBPeuNHpUaQ3tx+GnwGu9Fhl8a1vfYvGxsYvvfTq1avN/Y4++miuuuoq6utTb6NjnZ0kMJcJ3VWw7aiGZovV2+oTZrbC5zEZOzAHM1HWZYlI2nG7DMb0z06YZhZYUfjkb7GuT+KcQSeBN4GCZpyFw2Fef/311n/fdtttlJfv3rB2zpw5bT7/wQcf0KVLF7p06cLf/vY3Dj/8cLp06cLzzz/f5nGnTJmCYRitl9ra2vh/MR1EoSKB2UCfooDTw0h7yzfXYVk2ibL5fF7Qw4heqq8QEWeM6pNFpt/l9DBiLAsaq+HtW50eiRx2rqNdn0477TTOOuus1n/Pnz8fwzB44YUXWq+75JJL+Na3vkV1dTUXX3wxOTk5FBcXc8kll1BdXd3m8SoqKjjnnHMIBoN07dqVP/zhD20+b1kW3/ve95g3bx5r167lwQcf5H//+x+vvfYaAHfccQfr1q1rvf24ceNYt24da9euZd26dSxZsoTPPvuMU089tc3jvvrqqzQ0NLRegsFgR32L4k6hIoGZhkFelpesRHnyTlPhqM3iDbUYifKuHNC3S4ZqbkSk0/Uo8NOjIIHe7DJNePV6aEy99elJJbsEBhzvaNenE088kXfeeaf1DcDXXnuNQCDQZrZg5syZTJs2jXPPPZfVq1fz4osv8tRTTzF79myuvvrqNo/3k5/8hEmTJvHuu+9y2WWX8dOf/pQZM2a0ft7n83HLLbdw9dVXM336dC6++GL69u3LNddcw9atW5k1axbnnXde6+1N0+Tiiy9m1qxZ+P1+Zs6cyWmnnYZptj0V93q9bWoykolCRYKzbJtemq1w3JrtDZTXNGNZiTFbATCqT4hQhtr2iUjnyPS7GNUngWZJoxHY+DEseNLpkcjoC8G2HB3CSSedRGlpKYsWLQJioeLcc8/ljTfeAGDLli2sXr2aQYMG8eabb/Lcc88xYcIEJk+ezE033cTjjz+OZe3+Gr71rW/xgx/8gMMPP5ybbrqJ448/nv/7v/9rc8xzzjmHuro6/vjHP/Ld736XY445hr59+3LyySfz7W9/m4yMtvu3DB48uLW709y5czn22GPj+B3pfAoVCc40DHoVBbSGPgF8trr6y2/Uidwug6MGZONx6ZdDROLLMGBM/2zcidQ9xOWGrfPA0Gy+o1weOPK7ju9N0bt3bwYOHMjbb79NQ0MDH374ITfeeCOrV69my5YtvPPOO4wYMYI5c+bQ1NRE165dW2cDzjvvPJqbm9m6dWvr402cOLHN448ZM4Y1a9a0uc4wDM4++2yCwSDdu3cH4De/+Q3z5s3jggsu2GuMEyZMaA0Vc+bMYcqUKTz++OMEg0GCwSBLly7lpJNOav13SyBKFgn07CD743WbdMn1OT2MtFfbGGXpprqEqa0ACAbcibPxlIikrKE9guQGE6erj23bNDZHscdcgn3FB9BznNNDSl9DvgYZeU6PAti9BOrdd99l1KhRlJSUMG7cON544w1mzpzJiSeeSDgcJjc3l3nz5rVe5s+fz9KlSykqKmp9LK+3bbvk2tpaQqG2r7fNzc088MAD5OXl8fDDDwPw0ksvEQgEeOaZZ/Ya37hx45g3bx5VVVXMnj2bSZMmEQ6H+epXv0ptbS3RaJSGhgZqa2s58sgjiUSSa2dyhYokYNk2fYq1BCoRrNxaR01DJGG6QQF0y/MzoGvGl99QROQQFGV7E+o5xrJtGpstXptXyicrq4nm9IWLX8U+7YGEOblNK2Mvd7RAe08nnngiM2fO5NVXX+Wkk04CYOrUqa2hYtq0aQwePJjy8nJcLheDBw9uc/F4dgfnBQsWtHnst99+m5EjR7a57r777mPChAk88sgj/Pa3v2X16tU89NBDvP7669x7773s3Lmzze0zMzP52c9+xqxZs+jTpw/Z2dlx+k44Qwuyk4BpGBSGvGT4TOqbnF2zmO5sO7YMavLwxHrhGtYzSEVdmNLq1N90SEQ6TyjDzdgB2QnVqMI0DOaurSZqwebyJjaXNzG6X4geh52DPeRUjNd+CXMfiz1hS3wVDYGeRzk9ilaTJ0+mvr6eJ598srWo+vjjj+evf/0rlZWVTJw4EbfbzfDhwznzzDO5/fbbKS4u5oMPPqCyspJf/vKXrY91xx13kJ+fz4ABA/i///s/li9fzrPPPtv6+S1btvDGG2/w6aefUlJSwtVXX83ll1/Oj370IyZMmMAZZ5zBLbfcstcYr7vuOm6++WYAzj333L32sUhmmqlIEjbQq1CzFYmgsi7Cyq31CbUMyjBifeP9Hv1Ji0jH8HtMxg/KweNOnOcVy7bZWNrA9srmNtd/trqaNxZUUG9nwNfuw/7u61A8zKFRppEjvxsrmE8QgUCAY489FsuyGDVqFABjx46lurqayZMn4/V6MU2T559/nh49enDmmWcydepUnnnmGaZMmdLmsX7zm99w9913M2HCBGbPns0LL7xA//792xzr4YcfpqSkBIBrr72WI488kmuuuQaAG2+8ke9973utt3/rrbcYMmQIoVCI//3vfxx22GFMnjy5zZKrZGfYiXRmJF+osTnKK3NL9eZLAjANOP6wfAI+V+JsAAWU1TTz7pIK/Y6ISLu4TYNJw3LJyUysOopI1Ob1+WU0hfc/a9+vS4DhJQEM08T48EF453fQXNeJI00T3iD8dCV4EmdpXGeZPn06b7zxBv/85z/3+fmysjJM06S8vJyRI0eybNky3G438+bNY/z48eTk5LR5rEsvvRSfr23tbENDAy+++CInnnhiPL+UDpU4bz/Il/J7XXTLU8F2IrBsmLOmOqECBUB+lpfhPROo5aOIJB0DGDMgO6ECBcRmZBeur/nCQAGwelsDL8wpZ0d1BHvc97GvnANDTv3C+8ghGPlNcCfXPgqd5e6776Z///4cddRRnHrqqZSUlNC1a1dOOumkNoGixTe+8Q1qa2vbXCZNmtT5A28nzVQkEcu2qaqL8M6i8i+/sXSKUX2ydrX8TaxwMWd1Fet3Njo9DBFJQof1zqJvl8R699mybcprwry7pOKg7pef5WZs/xB+nwd75esYL14LlevjNMo084OPoGAgGHp/WmL0m5BETMMgN+hJqLZ+6W7Rhlqaw1ZC1VcAHN43pFktETlo/btmJFygsG0by4I5h7BXUFlNhJfnlrN8cx30nYz9w09g0k/A5f3yO8v+9RwHhYMVKKQN/TYkGcu26Z9Arf3SXSRqM3dNdUJ1RoHYMoEj+2dTGNILp4gcmG55Pob3DDo9jL0YhsHcNdXUNUUP+TGWbKzlpbmVVDYa2MfdgP39j6B38i0vSRhHXgJRdRuUthQqkoxpGHTP8xHw6keXKLZVNrOptDGh9q4AcJkG4wZlk5upztEi8sVygx6O7J9YrWMhNkuxfkcDm8rav5yzOWLxzqIKPlpRTSTUAy6cgX3GXyGzsANGmkYyC2DY12M7aYvsQWemScgG+hZrtiKRzF9XTSRqJ9wyKLfL5OghuWQFXE4PRUQSVKbPxfhBObjMxAoUlm1T1xRl/rqaDn3crRVNzPisnPU76mHYGdhXzYu1RtVSngNz+HcgwcKnJAb9BSUh0zDoUxzApZ9ewmiOJOYyKACv22TCkFwyfPqFEZG2PG6D8YNz8CXiHjc2fLyiiqgVnzdr5qyp4fWFFdRaPvjqH7EvfRu6HhaXY6UMlweOulwBTPZJvxVJyu0y6KnN8BLKlvIm1mxLrE3xWgS8LiYMyU3MEwcRcYRpwLiBOWQFEnOJ5MINNVTVx3djtbpGizfmlzN3TTVW0TDsy96Bk+4AXyiux01aI74JWV00UyH7pDOMJKaC7cSzcH0N1Q2RhKuvAAj63Rw9OAePSy8GIunOAEb3y6YgAZs5WLbN1oom1mxr6LRjrtvRwIw55WyrbMYecyn2VXNg2BmddvykYJhwzE/B+uJ9QiR9KVQkKcMwCPrdFOck3gtCOrNs+GhFFZZFQs5Y5GR6GDcoR0vnRNKYYcQ2tyspSLyNy2zbpjlsMWd1Vacf27Lgw+VVzFxcSaM7B856FPs7z0Ne304fS0Ia8jXI6wOmXkBk3/SbkcQs22aAZisSTl1jNGHrKwAKQl7GDsjR7LVIGjINOGpgDt3zEy9QtPh4ZRXNEefelKmoi/DK3HKWbqzB7jUB+wcfweTrwJ3me/8c+zOwDr2tr6Q+hYokZhoGhdk+bYaXgDaVNbJ2e2LWVwB0yfUxup/WDIukE5cJ4wbl0DU3MU+Obdtm2eY6ymoSY/+DZZvreXluOeX1YB/7c+wffAL9jnN6WM7ofzwUDwNTnQRl/xQqkpxl2Qzunun0MGQfFqyroSZB6ysAehQEOKx3ltPDEJFO4DYNxg/KpTgnMQOFZduU14RZvqnO6aG00RyBWYsrmL2sinBmN/j2s9hnTY8VK6eTY38OVnyL5iX5KVQkOdM06JLrI0cbnCUcy4YPV1RhWYm3f0WLvl0yOKJfSEuhRFKY22Vw9JAcCrMTswbPtm2iUZtPVlWRmM+UsL2qmRfnlLNmez0MPhX7yjmx1qrp8M59z/HQYyyYOs+QL6ZQkQI0W5G46hqjfLKyKmHrKwB6FQYYN1DF2yKpyOMymDgkl/ysxAwUEGs88tnqahqaE7+r0Py1Nbw2v4KaiBf7xDuwL5sF3Y9weljxdczPIKpZCvlyOo1IAaZp0DXPTyhBe42nu22VzSzdVJuwsxUQq7GYOCQXrztxw4+IHByv22DS0NyErruzbZvV2+rZWtHk9FAOWH2zxZsLypmzphqrYBD2JW9in/JH8Oc4PbSO12Uk9D8OXDq/kC+nUJEiLMtmUIlmKxLVsk11bK9sTtj6CoC8LC/HDMsj4NXTgkiy83tMJg3NIzszcQOFZduUVjezcH2N00M5JBt2NjLj03K2lDfD6Auwr5oLI892elgda9K1mqWQA2bYifz2qRwU27Z5Y34ZtY1q+ZaIPC6DKSPyCfhMzAReDtXQHOWDpZVUN+iFRCQZBbwmE4fkEkzg2WvLtqlrjDJzUTnhaPKfhmRnuBk3MESG34O97n2MGVdD6Qqnh9U++f3hh5/ENr0TOQD6TUkhNjBItRUJKxy1+XB5JbadmBvjtQh4XUwalkt+VuK+wyki+5bhczFpaF7CB4pwxOaDZRUpESgAquojvDqvnMUbarBLxmJfMRum/ho8AaeHdugmXqPds+WgaKYixdi2zevzyqhr0mxFouqe72PsgBynh/GlopbNJyurkmqts0g6C2W4OXpQDgFf4nYksm0by4ZZi8uprEvN2VC3CeMG51IQdEPNFowZ18DK15we1sHJLoEfzVfHJzkomqlIMTYwsJt22U5km8uaWJQEa4hdpsFRA7PpXZTE77SJpIlueT6OHZaX0IGixScrq1I2UABELHhvSQXvL6skHCiG8/6NffbjEOru9NAO3ISrnR6BJCHNVKQgy7Z5Q7MVCW9EryD9umQkdLvZFks21rJ8c2JtSiUiMUN7ZDKoe9DpYRyQBetqWL2t3ulhdKoRvYL0K/KCFcF4+1b48M+JvZFcXt9YLYVmKeQgKVSkIMu22VLWxCerqpweinyJI/uHKMn3J0WwWLOtnvnrEn+GRSRduF0GR/bPpmtuYu6SvSfbtlmzvYEFafoc4veajB+UQ3aGC0pXYPzvKtj4kdPD2rez/g6Dv6o2snLQFCpS2FsLyqiqT+B3QwTDgKMH5VCQ7U3ojlAttpY38tnq6pQprhRJVkG/i3GDcshK4ILsFpZts6OyOdaowunBOKx7vo8jemfi9niw5/wD4/VfQ0OF08ParfsRcOnbTo9CkpRCRYpq6f/9/tJKp4ciX8JlGhwzNJdQpjspgkVdY4SPU3xNtEgiK87xMqZ/Nh534pdFWrZNTX2EmYsriFo63WhxZP8QJXkeaKrFeO0GmPc4JMLp2EUvQ8lYzVLIIVGoSHHvLa1gZ1Wz08OQL+F1Gxw7PI8MnyspgkXUslm4voa12xucHopIWhnYLYOhPYJJsWTSsm2awhbvLCynMazWpJ+XFXAxfmA2mQEP9saPMV74EexY4tyABnwFzvu3c8eXpKdQkcIs26a6PsLbC8udHoocgAyfyeTheXjcib053p42lTYyd201ES2HEokrlwlH9M2mpMDv9FAOiG3bRC2YuahcG2l+iX5dAgwvCWCYJsbs+2HmHdDcyY0xDBO+/2Fswzsz8TuISWJSqEgDH6+sZHOZ9hpIBqEMN8cOy8U0jaQJFjUNseVQ1arfEYmLDK/JUYNyyMlMjg0pW04rPlhWyQ7NlB8QlwlHDcyhKOSGuh0YL/4Els3ovAGMOg9Of7DzjicpSaEixdm2TX2TxevzSxNiuaZ8ufwsDxOH5GIYJMUSB4gth5q/rob1O7QcSqQjFWR5GDswB58n8esnIPaaYxgGc1ZXsX5no9PDSTr5WW7G9g/h93mwV7yG8dJPoHJ9fA/q9sc2usssAjM5fs8kMSlUpAHbjp3waf178uia6+OogdlA8gQLgA07G5i3tkYFmSIdYEDXDIb2DCbNrGVLoJi7ppp1eoOhXYb1CDKgixdsC+Od22H2fRANx+dgE66G438TWwIl0g4KFWnAtm3CEZtX5pbqZC+J9C4KcHjfkNPDOGjVDRE+XlFJTYM2XxQ5FEG/iyP6hcjP8jo9lAPWcioxd021Zig6iNdtcvTgHHIyXVC+JlbIve69jj1IIBeuXgS+5Ng8URKbQkWasG2bZZvrWLZJuyInk0HdMxnaI/me7CNRm/lrq9lQqpMLkYPRr0sGw3oGcZnJMTsBuwPFnNX6m4+Hbnk+juiTicfjwZ7/ZKwFbV1pxzz4V26Bcd9XcbZ0CIWKNBK1bF6fV0pDs1r7JZNhPYMM7Jbp9DAOyfodDcxfV01Uv3IiXyjTF5udKAglz+wE7A4Un62uZqMCRVwd0TeLnvleiDRgvPYrmDO9fXtb5PSEK+eAKzkaAEjiU6hII5Zts7W8iY9XVjk9FDlIA7tlMKxnltPDOCR1jVHmr6tme6W6wIjsS9/iAMN6ZuF2Jc/sBOwOFJ+uqmZTmQJFZ8j0mxw9KIdgwIO9eU5sSdS2BYf2YGf8FYadoY3upMMoVKSh95ZUsLNaJ3jJpk9xgFF9Qq3FkMlmU1kjC9fVaBMskV0yfCZH9M2mMDu5Zidgd6D4ZGUVm8vVsryz9SkOMKJHANPlwvjoIXj7NmiqOfAH6HYEXPZ2/AYoaUmhIs1Ytk1dY5Q3F5SpxWwS6lHgZ3S/WPF2MgaLcMRi8cZadSKTtNe7KMCIXkHcruTruGPbNjaxQLFFgcIxpglHDcimONsD9WUYL/8MFj/75Xc0TLjsHSgaplkK6VAKFWnItm0Wrq9l9bZ6p4cih6Brro+xA7KTah+LzyuvaWbu2hptmCdpJ+A1OaJviKIcn9NDOSQtgeLjFVVsrVCgSAS5mW7GDdy1t8XqtzBevBbK1+z/DqMvhFP/1Gnjk/ShUJGGbNsmasFr80pp0lKUpFQY8jJ+cA6GQdL0sP88y7ZZtbWeZZtqVcgtaaFXoZ8RvbLwuJNvdgJ2BQobPlpRyTbVSCWcISWZDOrqA2yMWb+H9+6B6Od+Thl5cNU88IUgSV87JHEpVKQpy7bZWNrInNXVTg9FDlFu0MOEITm4TCNpgwWokFtSX3aGmxG9spKydqJFS6D4cEWl/lYTmNcN4wblkhd0Q+WGWCH3mnd23+DUP8Hh54OpZU/S8RQq0tzMReWU18Zpl06Ju1CGm4lDcvG4kztYgAq5JfUEvCZDewTpUeBP2qWKsDtQzF5eyY4qBYpk0CXHy5H9grG9LRb9B+OV6yG7BC55QztnS9woVKQxy7apro/w9sJyp4ci7ZDpczFpaC4+r5n0wUKF3JIKPC6Dgd0y6dc1I6k2sdsXy7KxbJsPl1epa2ASGtUni94FXog2YdSVQqi7irMlbhQqhLlrqlm3QydxyczvNZk0JJcMvyvpgwVARW2YJRtr9a6oJBXDiLX6HNw9iM+T/O8GW7ZNQ5PF7GUV1DRGnR6OHKIMr8kxw/Lwuy0MbXQncaRQkeZs2yYStXl9fpmKtpOc120wcUguWRnulAgWAGU1zSzdWKd3SCXhdcvzMaxHkGAgNd4Ftm2bspowH62opDmi04Rk5veYnDAqH5dpJPUyPEl8ChWinbZTiNtlcPTgHPKCnpR68SitbmbpxlpKa1T/I4klN+hhRK8g+VnJW4S9L+t2NDBvbbX2M0oBYwdk0zXPlzJvNkniUqiQVh8ur1Tf8RRgGjCydxZ9ijOSdvft/dlZ1cySTbWUK1yIwzJ9Lob1DNI93+/0UDpMy+nAog21rNqqfYxSQXGOl6MH5zo9DEkTChUCxF5MmiM2r88rJRzVr0Qq6F0U4LA+WUDy7mWxP9srm1i6qY4KdS6TTubzmAzslkHf4gzMJC/C3pNl21gWfLJSe1CkCpcJxx9WgD8FmnhIclCokFaWbbNhZyNz12jvilSRF/QwblA2Hndqvqhsq2hi6aZaKuu0M7fEVyjgpl/XDHoU+JO+o9PnWbZNU9jig2WV2uU+hQzvGaR/14yUmq2WxKZQIXt5b0mFCmNTiM9jMm5gNrkpVmexpy3ljSzbVEeVToikgxXneOnfNYOibJ/TQ4kL27apqIvw4fJKNetIIXlBD8cMy03Z53xJTAoV0oZt2zQ0W7wxv5SoXl9ShmHAyF5Z9O2SenUWLWzbZmtFE6u21lOmmgtpB5cJPQsC9OuaQVaKdHPan407G5izphpLZwIpw2XC1JH5BHyp0WJckodChezFtm1Wba1n0YZap4ciHaxXoZ9RfUJgpF6dxZ6q6yOs2VbPxtJGIjpbkgPk95j07ZJBn+IAXnfy7zOxPy1vLCzeUMuKLXVOD0c62IheQfp10bIn6XwKFbJPtm0zc1E5FVqrnnJyM92MG5SD15OadRZ7CkcsNpQ2smZbPbXavEv2IyfTTf+uGXTP86dU8fW+WLaNbcOnq6rYUq5uf6kmP8vDpKFa9iTOUKiQfbJsm7rGKG8uKFOf8hTk85gcNSCbvKzUrbP4vB1VTazb3sDWiiYt9RAAuub66N81g4JQau0xsT/2ruf1j1dWqf4oBanbkzhNoUL2y7ZtVmypY8lGTY+nIsOA4T2z6N81dess9qUpbLGptJH1Oxt0YpWGgn4XPQr89CgIkOl3OT2cTtHy971mWz2LNtSoXi5FjeydRd/iQNo8l0viUaiQL2TbNu8uqVDhawrrUeDn8L4hjBSvs9iXyrow63c0sLG0UfuzpDC/x6SkwE+PAj85mR6nh9OpLNsmErX5bFWV9p9IYQUhD5OG5jk9DElzChXyhSzbpqnZ4o0FZUR00pWysjPcjBmQTdDvSst3uaKWzbaKJrZWNLGtsolwRL/ryc7jMuia56NHgZ/CkDftfq9bZie2Vzbx2epqtYtNYS7T4PjD8gl4zbT7PZfEolAhX8qybTaXNvLpam2Kl8pMA4aUBBnQLQOb9Ju1aGHbNmU14VjAqGhSgXcS8boNuub56Z7nozDkTfmi6/2xdhUNLVxfw5rtDQ6PRuLtsN5Z9NGyJ0kAChVywD5eWcnmMnULSXW5QQ9H9g+R6UvPWYvPq22IsLUyFjDKasJqXJBg/F6Tbrk+uuX5KQilT+OB/bFtm5qGCB+vrKKmQYE41RXneDl6cK7TwxABFCrkANm2TdSyeWN+GQ3NmkZPdaYBQ3sEY0XcpO+sxec1Ryy2VzaxraKZ7ZVNqsNwgNs0yMvyUBDyUBjykRt0p32QgNiMsmkYrNxSx5KNtepwlgb8HpOph+XjcRn6G5CEoFAhB8yybcprwry7pMLpoUgnyc/yMLpfNhk+rdX9PMu2KasOs61Sy6TiyeM2yM/yUpDloSDkJSdTIeLzLNsmHLH4ZFU1O6tUjJ0uJg7JIT/k1Zs+kjAUKuSg2LbN4g21rNxa7/RQpJO4TBjWM4t+XdKr9ezBagpbVNaFqagNU1kXoaI2TKOKYw+a32OSvytA5Ic8hAIKEfvT8ve4pbyRuWuqaVaDgbQxsFsGQ3sE9bchCUWhQg6aZdu8s7BcPf7TTEEoNmuhDiMHrqE52iZkVNSF1VnqczJ8LgqyPOSHvBSEPAT9bqeHlBRadsaev7aG9TtVjJ1O8oIejhmmXbMl8ShUyEGzbJv6xihvLSzTJkppxm0aDO8VpE9xRusabjk4dY0RKmojVOya1aiqixBJ8QXwpgGZfhdBv5usQOxjcNdHn8d0enhJpWV2YnNZIwvX16jGLc14XAZTD8vH59Gu2ZJ4FCrkkNi2zfqdsSl3ST9F2V5G9wvh1Qtbu9m2TX1TlIZm63MfozQ0WdQ3R5Nmj5iA1yQr4CbobxscVJPTMWzbpq4xyrx1NaqdSFNjB2bTNden511JSAoV0i6frapiQ2mj08MQB7hdBiN6ZdG7KIBl2Wm7J0BnCEesNmGjvsna9TEWQiJRC8uO7U/QUZMeLhM8LhO3y8DjNvG4DDxuA4+r5f9jH30eMxYiAm5c+h2IC8u2sSxYuqmW1dvq1dY4TfUuCnB435DTwxDZL4UKOWS2HTuBeXthmfqhp7GcTDcje2WRH/KqkDsBtPxdtgQMy7KJ7nmd1XKSahO1Y7d3u/YOCwqJzmtZYrixtIFF62tV+J/GsgIupozIxzTQc6wkLIUKaZfd9RXlRFN8Xbh8sa65Pkb0yiLDF1sjrxc+kUPT8rJc2xhl7ppqymrCDo9InOQyYcqIfDL9Li17koSmUCHtZtk2m8sa+XSV6ivSnWFA3+IMhvTIxGUaegEUOUgts0iLN9aydlsDeoGWI/uFKCnw640aSXgKFdJh5q2tZu12tTYU8LoNBnUP0rdLANCO3CJfpmWp0/odDSzeWEuTljoJ0K9LgJG9VUchyUGhQjqMZdu8u7iC8lpN1UtM0O9ieK8gXXP9akErsg8tdUhVdWHmra3R86e0Kgh5mDhE+1FI8lCokA5j2TbNYYu3FpbrXTZpoyDkYWTvLLIzPCrmFmF33URzxGLJxjrW7dAsr+wW8JocNzIft0vLSCV5KFRIh7Jsm/KaMO8tqdBaYNlLz0I/w3sG8bq1b4Gkp5aX3KawxbLNdazf0dBhbYAlNZgGHDs8j1CGW4FCkopChXQ427ZZtbWeRRtqnR6KJCCXaTCgWwYDu2WqPaKkjZYZuoamKMs217Fhp8KE7NsRfUP0LFRhtiQfhQqJm89WV7FhpzbGk33zug36dsmgf5cM3K7Yi6deRCXVtISJusYoyzbXsrG0UZvXyX71KQ4wqo8KsyU5KVRIXNi2jQ28t6RCPdblC7lM6FUYYGC3TAI+l2ouJCW0/B7XNkZYtqmOTaWNWhIqXygv6GHSsFwteZKkpVAhcWPZNpGozdsLy6hvUuG2fDED6J7vZ2D3DLIzPFiWrV2dJem0dDmraYiwdFMtm8uanB6SJAG/J1aY7XUbelNFkpZChcSVZdvUNUZ5Z1E5kah+1eTAFGZ7GdQtg8Jsn8KFJIXW1rD1YZZtqmNLucKEHBjTgGOG5ZGdqcJsSW4KFRJ3lm2zo7KZ2csrnR6KJJnsDDcDu2XSPd+HjTbRk8TTEnor68Is3VTHtgqFCTk4Ywdm0y3XpxkKSXoKFdIp1BFK2iPD56J/1wx6FwXUMUoc1/KyaQNbyppYs71etWNySIb1DDKga4ae0yQlKFRIp5qzupr1O7XJkxwar9ugb3EG/bpm4HWb2qVbOlXL71tDU5Q12+tZv7NRG33KIetdFODwvur0JKlDoUI6TUtHqPeXVlBarXf15NCZBnTN9dGzMEBxjrf1er3bJx2t5XnLALZXNrNmez3bK5udHpYkueIcL+MH5eg5S1KKQoV0Ksu2iUZt3l5YTl1T1OnhSArwug16FPjpVRggO9Oj2QvpEC21Eg1NUdbtaGD9zgYamjUrIe0XynBz7LA8XKbeCJHUolAhnc6ybRqbLd5ZVK6lA9KhsgIuehYE6Fnox+91qXOUHJSWl0PLhs1ljazf2aBZVelQfq/JlOF5eD2m3vyQlKNQIY6wbJua+gizllSo1azERWHIS89CP93z/bhMQzMYsk8tL4GGYVBe08y6HY1sLm/U85J0OLdpcMzwXLICah0rqUmhQhxj2TZl1c18sKwSS7+FEicu06Bbno9ehX4KQqq/kNhzT8tPv6IuwtbyRraUN1HbqCWZEh8GMH5wDoXZXgUKSVkKFeIo27bZUt7ExyurnB6KpAG/16RHvp+ehQFCGe7WIly9yKe+lqVwUctme2UTWyua2FbRRHNEL4ESf6P6ZNG7KKA3MySlKVSI42zbZs32Bhasq3F6KJJGMnwmxTk+uuT4KMz2xpZIqQYjZewZGBubo2wpb2JbZRM7q5o1MyqdaljPIAO7ZTo9DJG4U6iQhLFkYy3LN9c5PQxJQ6YBhdleinN8dM31keFzaRYjCbUsazKM2A7XW8tjMxJV9RGnhyZpamC3DIb1zHJ6GCKdQqFCEsrcNdWs26HN8cRZWX4XhdleirK9FGZ7cbvMNieskhj2DH6WZbOjqrl1WVOjOsuJw/oUBxjVR5vbSfpQqJCE0fKr+NGKKrZWNDk8GpEYA8gJuikMxUJGfpYXc1c3KdBMRmfac3lac8SivCZMeW1418dmosoRkiBK8v0c2T+kNyEkrShUSEKxbRvbhveWVlBWo/7wknhMA/KzvORlecjOcJMb9JDhcwG7f39Vl9F+e84MWbZNVV2EspowFbWxIFGvzTMlQXXJ8TJuUA6gmU1JLwoVknAs28a2YsGivFbBQhKfx2WQnekmO8NDTmYsaAT9LgzDUNA4AJ+vX6lvilJW09waIKrqIiqulqRQEPIwYXAuhqFAIelHoUISkm3bRHcFiwoFC0lCpgGhDDc5mbtnNEIZbly7woVl2WCkz/Ipy7bBps3Jlm3bNDRb1DZEKK/dPQuhNq+SjHIz3UwcmofLVKCQ9KRQIQnLsm0sy+bdJRVU1ql7i6SGLL+L7EwP2ZluAl4XGT6TDK8Ln9dsEzBaZjiSJXjsb7zhiEV9U5Saxih1jVHqm2If65oiNDRZ6AVIUkFWwMWxw/JwuYyk+HsViQeFCklolm0TtWzeXVyhtpCS8rxug4DXRcDnIuA1d11i/5/hc+H3ulpnOlq0PIXbrf/ZB4MD6lzVMpvQercDWMJhWTaNYYu6xgi1jVHqWkLDrgARjuolRlJbVsDFpKF5eNwKFJLeFCok4Vm2TTRqM2tJBdUKFpLmPC4D/66w4feYmKaBaYLLMGL/b7Dro4HLjM0amLs+usxd15mx/285AQpHLcIRm3DUJhK1iERb/r/lYhGxbMIRm4jV9jZ6BZF0lhVwcczQPNwKFCIKFZIcLDt2cvPu4gqqGxQsRETEWaEMN5OG5uLWkicRAEynByByIEzDwO0ymDQsl6yAy+nhiIhIGstWoBDZi0KFJI3WYDE0j6BfwUJERDqfAoXIvmn5kyQdy46t7X53STk1DdoAS0REOkdOppuJQ3Pb1CSJSIxChSSlluLt95dWUKF2syIiEme5QTcTh+S2NkIQkbYUKiRpxfaxgNnLKyit1gZ5IiISH3lBDxOG5LZ2UhORvSlUSFJr2XDroxWVbKtsdno4IiKSYvKzPBw9OFc7ZYt8CYUKSXotv8KfrqpmU1mjw6MREZFU0S3Xx5gB2Umzs72IkxQqJCW0/BrPX1fD2u0NDo9GRESSXe+iAKP6ZAGaoRA5EAoVknIWb6hhxZZ6p4chIiJJalD3TIb2CGLbtgKFyAFSqJCUtGJzHYs31jo9DBERSTIje2fRr0uG08MQSToKFZKy1m6vZ/7aGvQLLiIiX8Y04Mj+2XTL82l2QuQQKFRIyrJtmx1VzXy8ooqIpV9zERHZN7fLYNzAbApCXgUKkUOkUCEpzbJtahoifLC0ksaw5fRwREQkwfg8JkcPziGU4VaHJ5F2UKiQlGfZNs1hi/eXVVJdr923RUQkJtPvYsLgXAI+U4FCpJ0UKiQttOy+/fHKSrZrkzwRkbRXEPIwbmAOLpehQCHSARQqJG20/KrPW1vDuh3ay0JEJF31LgpwWJ8sDLQHhUhHUaiQtNLSc3zFljoWb1DLWRGRdDOiV5D+XTO1B4VIB1OokLRk2zZbypv4dFUVagwlIpL63C6DsQOyKcpWhyeReFCokLRl2zaVdRE+XK7OUCIiqSzDZ3L04Fwy/S7VT4jEiUKFpDXLsglHbT5aUUlZTdjp4YiISAfLz/IwblAObhVki8SVQoWkPdu2sYEF62pYu10F3CIiqaJHgZ8j+oYwDBVki8SbQoXIHtbvaGDe2mrVWYiIJDHDgOE9VZAt0pkUKkT2YNs2VfWxOouGZtVZiIgkG7/H5KiB2eQGPQoTIp1IoULkcyzbJhK1+XC56ixERJJJQcjDUQNycLtVPyHS2RQqRPbBsm0MYMH6GtZsU52FiEiiG9gtg6E9gtigQCHiAIUKkS+xYWesziKq1VAiIgnH4zIY3T9E11y/00MRSWsKFSJfwrZtahujfLyiiuqGiNPDERGRXbIz3IwblIPfa2p2QsRhptMDEEl0hmGQ6XcxZUQefYoDTg8nbb390tOcMb4LM195ps312zav58Yrz9rr+n0Jh5v596N3c/M132pzfWNDHffc+APOP34APzhrPHM/fLvN5395xem8OeOJ9n8RItJhehb6OXZ4ngKFSIJwOz0AkWRgGgY2NqP6hCjK9jJndTXhqCb5OktzUyNP/vXONtdt3biW/z52Hx+8+T8a6muZcsrZ+71/NBrlf0/8mZf/8yiVZTsZethRbT7//L/+THVlOb994L+sXDyHP/32hzz64iIMw+DtF5/CsiyOO+WcuHxtInJwXKbByN5Z9C4KqF2sSALRTIXIAWp54eqS62PqYfnkBT0Ojyh9/PvRu+k/ZFSb6xZ8MovqyjJu+fNzX3r/5qZG3prxFGdd9GMmHn/aXp9fuWQup3zzu/QdNIJpZ1wAQHVlGbXVlTz+0O+4/Kd36MRFJAHkZLqZOjKPXoWx+gn9XYokDoUKkYNkGgY+j8kxw3IZ2C3D6eGkvHWrlvDqf//ORVf/ts31X/n6d7j+zr/TZ+DwL32MQEYm9z35Lid87bx9noTkF3Zjzuy3iEYiLJn3IaZhEsrJ559/vo0JJ5xGr/5DOuzrEZFDM7BbBscOzyPgcylMiCQgLX8SOQQt63eH9ghSlO3lk1XVNIXVHqqjNTc1cs9vvs+ZF11NQVG3Np/ryJOKb1xwJTf96By+eUwPAhlBrvrN/axaOo85s9/kT4/P7LDjiMjBC3hNxvTPJi9Lm9mJJDKFCpF2MAyD/JCX40fm8+nqKrZXNjs9pJTy6J9+TSgnj6+efVlcj1PUtSf3P/U+ZTu3kpNXiGm6+NnFJ3Lhlb/hk/de45npdxONRjnromuYfNJZcR2LiOxWku/n8L5ZmKahQCGS4BQqRNrJNAw8bjh6cC5rt9ezaEMtERVxt9vr/3ucD995ibv+8SamGf+VmoZhtM6GvPjvvxHKyaP3wOHceu353PLn52hqbOAXl32VEaMnkl/UNe7jEUlnbpfBqN5Z9ChUMbZIslCoEOkALS94vYsCdMn18dmqanZWa9aiPf4z/R5qqiu44htj21z/wK3X8O9H7+b+p96Py3ErynbwzKP3cOtf/sf8j2dy5MQTyM0vAmDIYUexauk8hQqROMoLehgzIBu/N/ZmggKFSHJQqBDpQMauIu6JQ3NZsy02axG1NGtxKG68999EIuE21131rUmce/l1jJt8StyOO/3eG5n29e/QrUdfPn3vNaKR3RseNjU14HLraVMkHkwDBpdkMrBbJjZo7wmRJKNXR5EO1vJC2Kc4Nmvx6aoqymrCX3Iv+bwuJb33eX1uQfF+P7ene397Jf2HjOLks757wMdc+Ol7rFw8hx/84o8ADBk5lv8+dh9jJk6jvq6aVUvmMujX9x3w44nIgckLehjdL0SmP9bZSXFCJPkoVIjEiWEY+L0mk4bmsnpbPUs21hJVg6hOs2ndSrJzCw749uFwM//3h+u55Npb8fpiPfAHDDuCU8++nLt/8z0CmVlc+at7ycrOi9eQRdKOy4x10evXJQMbLXUSSWaGbdtamyESZ7ZtU98U5dNV1ZTXatZCRKQw5OWIfiECXlNhQiQFKFSIdBLLtjGAVVvrWbqpTrUWIpKWPC6D4b2y6F0UwLJt1U6IpAiFCpFOZts2TWGLeWtr2FrR5PRwREQ6TZdcH4f3ycLrMRUmRFKMQoWIA1r6rm+taGL+2moamlVsISKpy+s2OKxPiJJ8v/adEElRChUiDrJsG9uGpRtrWbWtHv01ikgqMYDexQGG9QziMg3NToikMIUKkQRg2za1jVHmrqlW+1kRSQl5QQ+j+mYRCsQaTWp2QiS1KVSIJIiWgsV1OxpYvKGG5oj+NEUk+fg8JsN7BulZqEJskXSiUCGSYCzbJhK1WbS+hvU7G50ejojIATEM6FucwdAeQUxTO2KLpBuFCpEE1FLIWFUXZsH6GkqrtSRKRBJXQcjDqD4hgrt2xBaR9KNQIZLAWpYObC1vZOGGWuoao04PSUSkld9rMqJXFiX5fi11EklzChUiScDa9We6Zls9yzbVEY7qz1ZEnON2GQzomsGAbpkYhpY6iYhChUhSsWybaNRm6aY61mxXC1oR6VyGAX2KAwwpCeJxGVrqJCKtFCpEkkzLn2x9U5SF62u1K7eIdIqSfD/DegYJeE1ALWJFpC2FCpEk1VLMXVrdzKINNVTURpwekoikoMKQlxG9gmRnerQbtojsl0KFSJKzLBvTNNhW0cTSTbVU1ilciEj7ZWe4Gd4rSFG2T0XYIvKlFCpEUsSenaKWbKqjul7hQkQOXobPxdCSTHpo8zoROQgKFSIppuUkYHNZI0s31VLToDa0IvLlgn4XA7tn0rPAj406OonIwVGoEElRlm1jAJtKG1m6uU57XIjIPmUFXAzqnklJvsKEiBw6hQqRFNcSLjbsbGTZ5jrqmxQuRARCATeDSjLpnufDtsE0FSZE5NApVIikiT1nLlZsrVfNhUiays5wM7gkk2552gVbRDqOQoVImmk5idhR2cTyLXWUVoedHpKIdIKcTDeDS4J0zVU3JxHpeAoVImmq5aSisi7Mis11bClvQk8GIqmnS66PAV0zKAh5FSZEJG4UKkTSXMtJRn1TlBVb6tiws4Go5fSoRKQ9XKZBz0I/A7pmkOl3K0yISNwpVIgIENuhGyActVm1tZ612+tpjujpQSSZBLwmfbtk0Kc4gHtX4bV2wBaRzqBQISJ7sW0by44Vda/ZXq9dukUSXG6mm/5dM+me71NbWBFxhEKFiOzXnnUXq7fVs6m0EUvPGCIJwQC65sXqJfKyVC8hIs5SqBCRL9XyNBGJ2qzb0cDaHQ3aTE/EIQGvSe+iAL2LAvi9LoUJEUkIChUiclBaW9JWNbFmWwPbKtQ1SiTeDKA410efogDFOV4tcRKRhKNQISKHpCVcNDZHWbO9gQ07G2hoVtsokY6U4XPRq9C/e1bCsrXztYgkJIUKEWmXlqcQwzAorW5mw84GNpc3EYnqqUXkUJgGdMvz07s4QKH2lhCRJKFQISIdxrJtDMCyYUt5Ixt2NrKzqlnLo0QOQH6Whx4FfnoU+HG7TIUJEUkqChUiEhctyzSawhYbdjawobSR6nq1phXZU06mmx4FfkoK/Pg9Wt4kIslLoUJE4q7lHdfq+gjrdzawuaxR9ReStrICLkryYzMS2u1aRFKFQoWIdJo96y8q68JsLmtkS3kTtWpPKykuw2fuChIBQhnu1qWC2u1aRFKFQoWIOGLPgFHTEGkNGFVaIiUpIivgokuuj+55fnKDnja/8yIiqUahQkQcZ9t2a9/9+qZoa8Aorw07PTSRA2YYsWLrrrk+uuX5yfC5FCREJG0oVIhIwtmzyHtzeSPbK5vZWdVM1NLTlSQWj8ugOMdHl1wvXXJ9eFymiq1FJC0pVIhIQms5QbMsm7KaZrZVNrO9somaBtVhiDOCfhfFOT665vnIz/JgGoaKrUUk7SlUiEjS2HMpSWNzlO2VzeyoamZHVRPNET2VSXwEvCaF2V4KQ16Ksr34vVrWJCLyeQoVIpK09lxmUlUfZntlM6XVzZTXhAlrR285RF63QWHIS2G2l6JsH5n+WIiwbbSsSURkPxQqRCQl7HnSZ9s2NQ1RSqubKasJU1bTrH0xZL+8boO8oKc1RIQy3ACqjRAROQgKFSKSsvY8KWxsjrKzOhYwymvCal2bpgwDsjPc5AU95AY9FIS8ZPhcgEKEiEh7KFSISNrYc8OxSNSivCZMRV2YyroIVXUR6ppU/J1qMnwmuUEPeUEPeVlecjLcrbNZWs4kItJxFCpEJG19/sQyErWoqotQURemqi5CZX2EmoYIepZMfIYR68qUneEhlBH7mBv04POYQGwWwjBUWC0iEi8KFSIie/h80LAsm5qGCBW1YSrrI9Q2RKlpjNCoGg3HBLwm2RluQrsuOZkeMv2u1pauChAiIp1PoUJE5AB8/kQ1atnUNUapbohQ2xChtjHa+lGdp9rP6zbI9LnI8LvI9LnI9O8KEQE3bteu8LDr5Uv7Q4iIOE+hQkSkHSzbhs+tzW+OWNQ0xGY1GpqjNDRbrR8bm6PaUwMwDQh4XWT6XWT4XAR3fcwKxD66XWbrba1dO6mr/kFEJHEpVIiIxEnLyfDnl+JELZumsEV9U5T6piiNu0JHY9iiOWLRHLEJ7/oYtZLnKdoAvB4Tv8fE5zHxe3f/v8/jIuCNXefzmHj2CA0tS860ZElEJHkpVIiIOKhlpmN/J9SWbROJ7g4ZTbuCRzhiE45aWHYsvERtG8uK3d6y9nWdjbXHcWJdsPb1bwMTwACXaeB2GbhbPrpMPK7Y/3tcBh632fr/rl23+/zX0PL1YWiZkohIKlOoEBFJIrZtY0PsRL2FEZslgI5/p39fx9OMgoiIfJ5ChYiIiIiItIv55TcRERERERHZP4UKERERERFpF4UKERERERFpF4UKERERERFpF4UKERERERFpF4UKERERERFpF4UKERERERFpF4UKERERERFpF4UKkQQSjUa/8PPbtm370tuIiIiIdDaFCpEEctNNN/Gvf/0LgHXr1jFx4sQ2nz/rrLNYvHhxm+vKyso4/PDDaWxsbL1uwYIFnHLKKViWFdfxzpgxA5fLxQ033BDX44iIiEhiU6gQSRCVlZXcf//9jBgxYq/PtcxOrFq1igEDBrT53H//+1/y8/PZtm0b69atY926dQSDQVatWsV//vOf1uvWrVtHRUXFXo/94IMPsmrVKiAWRq644ooDGu+sWbM477zzuOWWW3jooYd47LHH9nvbVatWYRgGfr9/vxfDMKisrDygY4uIiEhicTs9ABGJuf766/nqV79Kbm4ukydPZvr06QDU1tYyefJknnvuOfx+P4FAoM39nn76aS644AK++tWvtrne4/Fw0003tbnuoosu4tprr23998KFC/nxj3/cOvvRp08fnnjiCS644ALGjRu337E+9thjfO973+OPf/wjl19+OVOmTOGUU05hyZIl3Hzzzbjdez+15OfnU1paus/Hi0QieDye/X9zREREJKEpVIgkgJdeeolnnnmGefPmYdv2Pm8ze/ZsqqurOf300wE4+uijueiii5gzZw4vvPAC3/72tw/qmJZlccUVV3DZZZfRr18/ALKysvjJT37CpZdeyieffILf729zny1btvDDH/6QN998kyeeeIKvfe1rAIwbN46PPvqIr3/96zz77LPceuutnHbaafsMFyIiIpJ6tPxJJAE8/vjj/OMf/6Cmpoa1a9eyYsUKbrjhBlavXs3VV18NxILH1772NS655BLefvttjjvuOO666y6ysrLw+/28//77FBQU7Pdy2mmntTnmLbfcwubNm7ntttvaXH/dddfh8/n47ne/27rsKhwO8+Mf/5h+/fpRW1vL+++/zymnnNLmfs3Nzfzvf//jO9/5DhdffDE9evRg06ZNrZ8vKyvb79KnYDAYh++qiIiIdBbD3t/boiLSabZt20ZxcTFHHXUU11xzTZulQOFwmBdffJEXX3yRyy+/nF/96lcMHjyYzz77jL59+1JQUMC6desO6niPP/44l1xyCW+++SZHH330Xp/fsGEDkyZNYuzYsUyfPp3MzEyuu+46Jk2axCmnnEIgEOCTTz5h+PDhrff5xje+wQknnMD3vvc9qqurmTlzJqeeeioQCxQPPvggv/rVr/Y5Htu2ueOOO7jmmmvw+XwH9bWIiIiI8xQqRBLEgw8+yJNPPsmsWbO4/vrr2bp1a+vnRo0axeLFi2lqauLKK6/k+uuvZ/jw4cyZM4cNGzYcVKh4+OGHueKKK3j00Uc577zzAHjggQfIz8/nnHPOab3dypUrOemkkwB4/vnnGTZsGAD19fVkZmayceNGSkpKWm8/bdo0hg8fzl133dV63cyZM5k6depBfy8+++wzDjvssIO+n4iIiDhDoUIkAbz33nuceOKJnHnmmUyfPp3t27cTDodbPx8KhcjMzGTIkCH88Ic/ZMuWLSxevJjrr7+ec889l3Xr1vH+++/vtcRpTxMmTODZZ5/ltNNO4+yzz+b8888HYrMk/fv359FHH+Wss85qc5+Kigp+9atfcccdd5CZmQnAkiVLGDNmDG+88Qbjx49vve3gwYOxbZvly5fv8/h33XUXH330EU8//fQhf59EREQkMSlUiCSA888/n5EjR7JkyRKmT5/Od77zHV566aXWz7d0TTruuONYt24dDz/8MKNHj6a8vJzJkycf9PKnPX3nO9+htLS09XhNTU1fuATpzjvv5KmnnmLLli38/ve/5/zzz6esrIzevXvTrVs3pk+f3iZstJgyZQoXXHABF1544SGPVURERBKTCrVFEsAjjzzC0KFDW/9dXV3N888/T2lpKW63m9LSUmbMmMFZZ51FNBrl2GOPJRQKtXmMTZs2YZrmPou0g8Egl1xyyV7HfeedNnRbWQAABR9JREFUd3juued44IEHgFj9xvDhw5k5c+Y+xxmJRHjssce44ooreOaZZ7jiiit46623ePTRR5k2bRqXXXbZfusm1q5dyyWXXILb7d7nxTAMXnvttUP9FoqIiIiDFCpEEoDX623z78rKytbQEIlEmDZtGtu2bWPWrFmUl5ezffv2fT5OKBSitLR0r8stt9yy122rqqq46KKL+NOf/kSfPn2A2N4W1113Heeeey47d+7c6z6///3vqa6u5tvf/jYTJkzgvvvuY9GiRdx22238/Oc/54orrmDFihXceeede9133bp1RCKR/V5yc3Pp3r37QX/vRERExHkKFSIJprGxkcWLF9O3b1+WLVtGWVkZ3/zmNxk0aBAffPABF154IT/5yU/adYza2lrOOeccxowZw0UXXdTm2Keffjp9+/bda5nSAw88wI033sjf/va31uVRhx9+OHfddRff/e53GTNmDBkZGfzzn//kxhtv5LrrrqOhoeGAxlNWVkZVVRW9e/du19clIiIiztDOVCIJ5o477mDChAlkZmYyaNAgnnjiCSZPnszo0aO57777mDp1KkOGDOGee+5p3QivRXV1NQUFBXs9ZmNjY5vOTmeeeSavvvoqhYWFFBUV0dDQQENDA4ZhkJWVRVZWFjt37uSvf/0rl156KVVVVdx///08+uijnHDCCQCsXr2ao48+mh/84AfccccdrY99zDHH8MILL3DFFVdw0UUXMWjQoDZjiUQiLF26lLy8PDIyMohEItx6662MHTu2tRhcREREkotChUiCOemkk1rrHwzD4JxzzuGVV17h1FNP5YwzzgDgySefZOHChXvdt2X50+fdc889LFq0qPXfv/71rzn//PPp1asXeXl55OTkkJOT0+ak/uGHH+af//wnl156KdnZ2SxatAiXy9X6+X79+rFixYp9LlmaOnUqy5YtwzT3ngx1uVxMnjyZiooKbNvGMAyGDx/OY489dhDfJREREUkk6v4kkiQsy9rnSXq82LZNNBrF7Y7few/RaBTbtuN6DBEREYk/hQoREREREWkXFWqLiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7KFSIiIiIiEi7/D+0OaCEvHcixwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "#内层饼图表示各渠道销售占比\n",
    "stage_GMV = order_data_cleaned.groupby(\"平台类型\")[\"付款金额\"].sum().sort_values(ascending=False)\n",
    "colors = plt.cm.tab20(range(len(stage_GMV))) \n",
    "inner_pie = ax.pie(stage_GMV,radius=0.6, autopct=\"%.1f%%\", pctdistance=0.55,colors=colors)\n",
    "#外层圆环图表示各渠道客户分布占比\n",
    "stage_customer = order_data_cleaned.groupby(\"平台类型\")[\"用户名\"].count().sort_values(ascending=False)\n",
    "ax.pie(stage_customer,radius=1,autopct=\"%.1f%%\",labels=stage_customer.index,pctdistance=0.85, wedgeprops=dict(width=0.3, edgecolor='w'), colors=colors)\n",
    "\n",
    "ax.set_title(\"内层为各平台的销售占比，外层为客户在各平台间的分布占比\")\n",
    "plt.tight_layout() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3445dd46",
   "metadata": {},
   "source": [
    "根据各平台销售占比及其所对应的客户分布占比，可以看到，APP和微信公众号是我们的主要传播平台和收入贡献来源，但是和APP所对应的人群占比相比，其销售占比还有待提升，可以加大这方面的投入，开发APP端的更多功能，优化购物体验，推出更多优惠方案和复购激励，促进该平台上用户的转化，拉高该平台的客单价。同时微信小商店和wap网站的人数和销售额占比都较小，可以减少这两个平台的投入。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d7b1c155",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pivot_stage_order = pd.pivot_table(data=order_data_cleaned,index=\"交易月份\",columns=\"平台类型\",values=\"付款金额\",aggfunc=\"sum\").fillna(0)\n",
    "for column in pivot_stage_order.columns:\n",
    "    plt.plot(pivot_stage_order.index, pivot_stage_order[column], label=column)\n",
    "plt.legend(title=\"平台类型\")\n",
    "plt.title(\"各平台每月付款金额\")\n",
    "plt.xlabel(\"交易月份\")\n",
    "plt.ylabel(\"付款金额\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70a34962",
   "metadata": {},
   "source": [
    "可以看到虽然APP和公众号作为两个GMV占比贡献最大的平台，但是它们在1-4月的发力是较为疲软的，可以针对性的在1-4月多推出一些日销活动，促进该段时间内的转化提升"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35bd95bb",
   "metadata": {},
   "source": [
    "# 4.数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a78e1122",
   "metadata": {},
   "source": [
    "## 4.1 商品分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90ecb243",
   "metadata": {},
   "source": [
    "### 4.1.1 查看最热销的商品"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "54ccf473",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>商品编号</th>\n",
       "      <th>下单件数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PR000895</td>\n",
       "      <td>354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PR000762</td>\n",
       "      <td>350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PR000103</td>\n",
       "      <td>335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PR000587</td>\n",
       "      <td>303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PR000060</td>\n",
       "      <td>302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>PR000347</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>PR000597</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>PR000468</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>PR000986</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>PR001000</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1001 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          商品编号  下单件数\n",
       "0     PR000895   354\n",
       "1     PR000762   350\n",
       "2     PR000103   335\n",
       "3     PR000587   303\n",
       "4     PR000060   302\n",
       "...        ...   ...\n",
       "996   PR000347    21\n",
       "997   PR000597    19\n",
       "998   PR000468    18\n",
       "999   PR000986    16\n",
       "1000  PR001000    13\n",
       "\n",
       "[1001 rows x 2 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "product_counts = order_data_cleaned.groupby(\"商品编号\")[\"订单号\"].count().sort_values(ascending=False).reset_index().rename(columns={\"订单号\": \"下单件数\"})\n",
    "product_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "456bb264",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>商品编号</th>\n",
       "      <th>下单件数</th>\n",
       "      <th>下单件数累加</th>\n",
       "      <th>下单件数累计占比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PR000895</td>\n",
       "      <td>354</td>\n",
       "      <td>354</td>\n",
       "      <td>0.003386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PR000762</td>\n",
       "      <td>350</td>\n",
       "      <td>704</td>\n",
       "      <td>0.006734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PR000103</td>\n",
       "      <td>335</td>\n",
       "      <td>1039</td>\n",
       "      <td>0.009938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PR000587</td>\n",
       "      <td>303</td>\n",
       "      <td>1342</td>\n",
       "      <td>0.012837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PR000060</td>\n",
       "      <td>302</td>\n",
       "      <td>1644</td>\n",
       "      <td>0.015726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>PR000871</td>\n",
       "      <td>177</td>\n",
       "      <td>20081</td>\n",
       "      <td>0.192084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>PR000687</td>\n",
       "      <td>176</td>\n",
       "      <td>20257</td>\n",
       "      <td>0.193767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>PR000906</td>\n",
       "      <td>175</td>\n",
       "      <td>20432</td>\n",
       "      <td>0.195441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>PR000818</td>\n",
       "      <td>175</td>\n",
       "      <td>20607</td>\n",
       "      <td>0.197115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>PR000755</td>\n",
       "      <td>172</td>\n",
       "      <td>20779</td>\n",
       "      <td>0.198760</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>93 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        商品编号  下单件数  下单件数累加  下单件数累计占比\n",
       "0   PR000895   354     354  0.003386\n",
       "1   PR000762   350     704  0.006734\n",
       "2   PR000103   335    1039  0.009938\n",
       "3   PR000587   303    1342  0.012837\n",
       "4   PR000060   302    1644  0.015726\n",
       "..       ...   ...     ...       ...\n",
       "88  PR000871   177   20081  0.192084\n",
       "89  PR000687   176   20257  0.193767\n",
       "90  PR000906   175   20432  0.195441\n",
       "91  PR000818   175   20607  0.197115\n",
       "92  PR000755   172   20779  0.198760\n",
       "\n",
       "[93 rows x 4 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "product_counts['下单件数累加']  = product_counts[\"下单件数\"].cumsum()\n",
    "product_counts['下单件数累计占比']  = product_counts[\"下单件数累加\"]/product_counts['下单件数累加'].max()\n",
    "product_counts[product_counts[\"下单件数累计占比\"]<0.2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "614e21b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "product_counts[product_counts[\"下单件数累计占比\"]<0.2][\"商品编号\"].to_excel(\"hot_product.xlsx\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51ff23d1",
   "metadata": {},
   "source": [
    "根据各个商品在下单总件数中的占比，选取累计下单占比在前20%的商品，共有93件商品，说明这93款产品较为热销，可以将它们与其他商品一起设置为套装，用这些产品的热度来带动其他产品的销量,名单在hot_product.xlsx中。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2748209",
   "metadata": {},
   "source": [
    "### 4.1.2 退货率较高商品预警"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "bbaf99ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_orders = order_data_cleaned.groupby(\"商品编号\").size()\n",
    "refunded_orders_count = order_data_cleaned_refund.groupby(\"商品编号\").size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "096dc89e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "商品编号\n",
       "PR000309    0.368421\n",
       "PR000676    0.311111\n",
       "PR000147    0.308824\n",
       "PR001000    0.307692\n",
       "PR000958    0.285714\n",
       "              ...   \n",
       "PR000478    0.032258\n",
       "PR000136    0.032258\n",
       "PR000966    0.026316\n",
       "PR000210    0.026316\n",
       "PR000440    0.016667\n",
       "Length: 1001, dtype: float64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "refund_rate = (refunded_orders_count / total_orders).sort_values(ascending=False)\n",
    "refund_rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "5cf5493d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "refund_rate[refund_rate>0.20].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "9227c4b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "refund_product = refund_rate[refund_rate>0.20].reset_index()\n",
    "refund_product[\"商品编号\"].to_excel(\"refund_product.xlsx\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2e2da37",
   "metadata": {},
   "source": [
    "把退货率超过20%作为预警线，共有32款产品需要预警，最高的退货率达到了36.8%，有必要对高退货的产品进行现有运营策略的调整，若非运营问题则可考虑推广方式是否有误，或者当前产品是否存在质量不佳、货不对板的情况，有必要减少囤货,名单已输出至refund_product.xlsx中"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdcf5c3a",
   "metadata": {},
   "source": [
    "## 4.2 CRM分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "814dae6a",
   "metadata": {},
   "source": [
    "### 4.2.1 RFM模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "316892b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>消费总额</th>\n",
       "      <th>总订单数</th>\n",
       "      <th>最后一次下单时间</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>用户名</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>user-100000</th>\n",
       "      <td>1770.81</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-10-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100003</th>\n",
       "      <td>511.59</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-05-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100006</th>\n",
       "      <td>2771.98</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-11-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100007</th>\n",
       "      <td>2162.14</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-01-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100008</th>\n",
       "      <td>4879.94</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-11-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299980</th>\n",
       "      <td>719.77</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-10-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299983</th>\n",
       "      <td>706.80</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-12-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299989</th>\n",
       "      <td>1637.47</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-11-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299992</th>\n",
       "      <td>440.17</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299995</th>\n",
       "      <td>350.87</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79348 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                消费总额  总订单数   最后一次下单时间\n",
       "用户名                                  \n",
       "user-100000  1770.81     1 2021-10-13\n",
       "user-100003   511.59     1 2021-05-24\n",
       "user-100006  2771.98     2 2021-11-14\n",
       "user-100007  2162.14     1 2021-01-14\n",
       "user-100008  4879.94     1 2021-11-16\n",
       "...              ...   ...        ...\n",
       "user-299980   719.77     2 2021-10-18\n",
       "user-299983   706.80     1 2021-12-27\n",
       "user-299989  1637.47     2 2021-11-11\n",
       "user-299992   440.17     1 2021-01-01\n",
       "user-299995   350.87     1 2021-03-30\n",
       "\n",
       "[79348 rows x 3 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFM = pd.pivot_table(data=order_data_cleaned,index=\"用户名\",values=[\"订单日期\",\"订单号\",\"付款金额\"],aggfunc={\"订单日期\":\"max\",\"订单号\":\"count\", \"付款金额\":\"sum\"}).rename(columns={\"订单日期\": \"最后一次下单时间\",\"订单号\":\"总订单数\",\"付款金额\":\"消费总额\"})\n",
    "RFM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "ecbd82b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>R</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>用户名</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>user-100000</th>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1770.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100003</th>\n",
       "      <td>221.0</td>\n",
       "      <td>1</td>\n",
       "      <td>511.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100006</th>\n",
       "      <td>47.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2771.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100007</th>\n",
       "      <td>351.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2162.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100008</th>\n",
       "      <td>45.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4879.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299980</th>\n",
       "      <td>74.0</td>\n",
       "      <td>2</td>\n",
       "      <td>719.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299983</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>706.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299989</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1637.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299992</th>\n",
       "      <td>364.0</td>\n",
       "      <td>1</td>\n",
       "      <td>440.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299995</th>\n",
       "      <td>276.0</td>\n",
       "      <td>1</td>\n",
       "      <td>350.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79348 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 R  F        M\n",
       "用户名                           \n",
       "user-100000   79.0  1  1770.81\n",
       "user-100003  221.0  1   511.59\n",
       "user-100006   47.0  2  2771.98\n",
       "user-100007  351.0  1  2162.14\n",
       "user-100008   45.0  1  4879.94\n",
       "...            ... ..      ...\n",
       "user-299980   74.0  2   719.77\n",
       "user-299983    4.0  1   706.80\n",
       "user-299989   50.0  2  1637.47\n",
       "user-299992  364.0  1   440.17\n",
       "user-299995  276.0  1   350.87\n",
       "\n",
       "[79348 rows x 3 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFM[\"R\"] =  -(RFM[\"最后一次下单时间\"] - RFM[\"最后一次下单时间\"].max())/np.timedelta64(1,\"D\")\n",
    "RFM.rename(columns={'总订单数':'F','消费总额':'M'},inplace=True)\n",
    "RFM = RFM.loc[:,[\"R\",\"F\",\"M\"]]\n",
    "RFM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "b2d0e78b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>R</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>客户分层</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>用户名</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>user-100000</th>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1770.81</td>\n",
       "      <td>重要挽留客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100003</th>\n",
       "      <td>221.0</td>\n",
       "      <td>1</td>\n",
       "      <td>511.59</td>\n",
       "      <td>一般发展客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100006</th>\n",
       "      <td>47.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2771.98</td>\n",
       "      <td>重要挽留客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100007</th>\n",
       "      <td>351.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2162.14</td>\n",
       "      <td>重要发展客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100008</th>\n",
       "      <td>45.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4879.94</td>\n",
       "      <td>重要挽留客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299980</th>\n",
       "      <td>74.0</td>\n",
       "      <td>2</td>\n",
       "      <td>719.77</td>\n",
       "      <td>一般挽留客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299983</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>706.80</td>\n",
       "      <td>一般挽留客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299989</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1637.47</td>\n",
       "      <td>重要挽留客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299992</th>\n",
       "      <td>364.0</td>\n",
       "      <td>1</td>\n",
       "      <td>440.17</td>\n",
       "      <td>一般发展客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299995</th>\n",
       "      <td>276.0</td>\n",
       "      <td>1</td>\n",
       "      <td>350.87</td>\n",
       "      <td>一般发展客户</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79348 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 R  F        M    客户分层\n",
       "用户名                                   \n",
       "user-100000   79.0  1  1770.81  重要挽留客户\n",
       "user-100003  221.0  1   511.59  一般发展客户\n",
       "user-100006   47.0  2  2771.98  重要挽留客户\n",
       "user-100007  351.0  1  2162.14  重要发展客户\n",
       "user-100008   45.0  1  4879.94  重要挽留客户\n",
       "...            ... ..      ...     ...\n",
       "user-299980   74.0  2   719.77  一般挽留客户\n",
       "user-299983    4.0  1   706.80  一般挽留客户\n",
       "user-299989   50.0  2  1637.47  重要挽留客户\n",
       "user-299992  364.0  1   440.17  一般发展客户\n",
       "user-299995  276.0  1   350.87  一般发展客户\n",
       "\n",
       "[79348 rows x 4 columns]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#构建RFM判断函数，将用户进行分层，方便后续针对不同用户采取不同运营手段\n",
    "#由于F值多为1，用户的总体复购频率较少，可以将用户三个指标值减去该列平均值，若大于1则取1，否则取0\n",
    "def RFM_judge(x):#将数据按列传入\n",
    "    level = x.apply(lambda x:\"1\" if x>=1 else \"0\")\n",
    "    label = level[\"R\"] + level[\"F\"] + level[\"M\"]\n",
    "    d = {\n",
    "        \"111\":\"重要价值客户\",\n",
    "        \"011\":\"重要保持客户\",\n",
    "        \"101\":\"重要发展客户\",\n",
    "        \"001\":\"重要挽留客户\",\n",
    "        \"110\":\"一般价值客户\",\n",
    "        \"010\":\"一般保持客户\",\n",
    "        \"100\":\"一般发展客户\",\n",
    "        \"000\":\"一般挽留客户\",\n",
    "    }\n",
    "    result = d[label]\n",
    "    return result\n",
    "RFM[\"客户分层\"] = RFM[[\"R\",\"F\",\"M\"]].apply(lambda x:x-x.mean()).apply(RFM_judge,axis=1)\n",
    "RFM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "e67a8370",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "客户分层\n",
       "一般价值客户       89\n",
       "一般保持客户      601\n",
       "一般发展客户    27052\n",
       "一般挽留客户    27690\n",
       "重要价值客户      455\n",
       "重要保持客户     2833\n",
       "重要发展客户     9132\n",
       "重要挽留客户    11496\n",
       "Name: R, dtype: int64"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFM.groupby(\"客户分层\")[\"R\"].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e723635d",
   "metadata": {},
   "source": [
    "将客户分层结果做统计后，发现绝大部分的重要客户需要我们进行发展和挽留，绝大部分一般客户也是需要挽留和发展的，且重要客户群体仅有总客户群体的约1/3。\n",
    "\n",
    "可以根据不同客户群体采取不同策略：\n",
    "\n",
    "1. 重要价值用户，RFM三个值都很高，可以提供VIP服务，可以开设一些专属购买渠道\n",
    "\n",
    "2. 重要发展用户，消费频率低，但是其他两个值很高，要想办法提高他的消费频率，可以采用积分手段来激励他们的消费\n",
    "\n",
    "3. 重要保持用户，最近消费时间距离现在较远，也就是R值低，但是消费频率和消费金额高。这种用户，是一段时间没来的忠实客户。可以采用短信或者是类似于千牛的专属客服等手段进行用户触达，提高复购率\n",
    "\n",
    "4. 重要挽留客户，最近消费时间距离现在较远，消费频率低，但消费金额高。这种用户即将流失，可以主动联系用户，了解他们的评价和感受，调查清楚哪里出了问题，并想办法挽回\n",
    "\n",
    "5. 一般客户可以采用等级制，激励他们消费"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "076fcdd9",
   "metadata": {},
   "source": [
    "## 4.3 新老客分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "9eb148a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>交易月份</th>\n",
       "      <th>2021-01-01</th>\n",
       "      <th>2021-02-01</th>\n",
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      "text/plain": [
       "交易月份         2021-01-01  2021-02-01  2021-03-01  2021-04-01  2021-05-01  \\\n",
       "用户名                                                                       \n",
       "user-100000           0           0           0           0           0   \n",
       "user-100003           0           0           0           0           1   \n",
       "user-100006           0           0           0           0           0   \n",
       "user-100007           1           0           0           0           0   \n",
       "user-100008           0           0           0           0           0   \n",
       "...                 ...         ...         ...         ...         ...   \n",
       "user-299980           1           0           0           0           0   \n",
       "user-299983           0           0           0           0           0   \n",
       "user-299989           0           0           0           1           0   \n",
       "user-299992           1           0           0           0           0   \n",
       "user-299995           0           0           1           0           0   \n",
       "\n",
       "交易月份         2021-06-01  2021-07-01  2021-08-01  2021-09-01  2021-10-01  \\\n",
       "用户名                                                                       \n",
       "user-100000           0           0           0           0           1   \n",
       "user-100003           0           0           0           0           0   \n",
       "user-100006           0           0           0           0           1   \n",
       "user-100007           0           0           0           0           0   \n",
       "user-100008           0           0           0           0           0   \n",
       "...                 ...         ...         ...         ...         ...   \n",
       "user-299980           0           0           0           0           1   \n",
       "user-299983           0           0           0           0           0   \n",
       "user-299989           0           0           0           0           0   \n",
       "user-299992           0           0           0           0           0   \n",
       "user-299995           0           0           0           0           0   \n",
       "\n",
       "交易月份         2021-11-01  2021-12-01  \n",
       "用户名                                  \n",
       "user-100000           0           0  \n",
       "user-100003           0           0  \n",
       "user-100006           1           0  \n",
       "user-100007           0           0  \n",
       "user-100008           1           0  \n",
       "...                 ...         ...  \n",
       "user-299980           0           0  \n",
       "user-299983           0           1  \n",
       "user-299989           1           0  \n",
       "user-299992           0           0  \n",
       "user-299995           0           0  \n",
       "\n",
       "[79348 rows x 12 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_pivot = order_data_cleaned.pivot_table(index=\"用户名\",columns=\"交易月份\",values=\"订单日期\",aggfunc=\"count\").fillna(0)\n",
    "new_and_old_customer = customer_pivot.applymap(lambda x:1 if x>0 else 0)\n",
    "new_and_old_customer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "79751dc8",
   "metadata": {},
   "outputs": [
    {
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       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299995</th>\n",
       "      <td>potential</td>\n",
       "      <td>potential</td>\n",
       "      <td>new</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "      <td>old</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79348 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "交易月份        2021-01-01 2021-02-01 2021-03-01 2021-04-01 2021-05-01 2021-06-01  \\\n",
       "用户名                                                                             \n",
       "user-100000  potential  potential  potential  potential  potential  potential   \n",
       "user-100003  potential  potential  potential  potential        new        old   \n",
       "user-100006  potential  potential  potential  potential  potential  potential   \n",
       "user-100007        new        old        old        old        old        old   \n",
       "user-100008  potential  potential  potential  potential  potential  potential   \n",
       "...                ...        ...        ...        ...        ...        ...   \n",
       "user-299980        new        old        old        old        old        old   \n",
       "user-299983  potential  potential  potential  potential  potential  potential   \n",
       "user-299989  potential  potential  potential        new        old        old   \n",
       "user-299992        new        old        old        old        old        old   \n",
       "user-299995  potential  potential        new        old        old        old   \n",
       "\n",
       "交易月份        2021-07-01 2021-08-01 2021-09-01 2021-10-01 2021-11-01 2021-12-01  \n",
       "用户名                                                                            \n",
       "user-100000  potential  potential  potential        new        old        old  \n",
       "user-100003        old        old        old        old        old        old  \n",
       "user-100006  potential  potential  potential        new     active        old  \n",
       "user-100007        old        old        old        old        old        old  \n",
       "user-100008  potential  potential  potential  potential        new        old  \n",
       "...                ...        ...        ...        ...        ...        ...  \n",
       "user-299980        old        old        old     return        old        old  \n",
       "user-299983  potential  potential  potential  potential  potential        new  \n",
       "user-299989        old        old        old        old     return        old  \n",
       "user-299992        old        old        old        old        old        old  \n",
       "user-299995        old        old        old        old        old        old  \n",
       "\n",
       "[79348 rows x 12 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#将客户按月维度统计，划分成为四大类：潜在客户、新客、活跃客户、回流客户、老客\n",
    "def active_status(data):\n",
    "    status = []\n",
    "    for i in range(12):\n",
    "        if data[i] == 0:#当月无消费\n",
    "            if len(status) == 0:#统计开始的首月无消费\n",
    "                status.append(\"potential\")#判断为潜在客户\n",
    "            else:#统计开始的第二个月开始无消费\n",
    "                if status[i-1] == \"potential\": #上月判断为潜在客户\n",
    "                    status.append(\"potential\")#判断为潜在客户\n",
    "                else:\n",
    "                    status.append(\"old\")#判断为老客\n",
    "        else:#当月有消费\n",
    "            if len(status) == 0:#统计开始的首月有消费\n",
    "                status.append(\"new\")#判断为新客\n",
    "            else:#统计开始的第二个月开始有消费\n",
    "                if status[i-1] == \"old\":#上个月判断为老客\n",
    "                    status.append(\"return\")#判断为回流用户\n",
    "                elif status[i-1] == \"potential\":#上个月判断为潜在客户\n",
    "                    status.append(\"new\")#判断为新客\n",
    "                else:#上个月判断为新客/回流客户/活跃客户\n",
    "                    status.append(\"active\")#判断为活跃客户\n",
    "    return pd.Series(status,new_and_old_customer.columns)\n",
    "\n",
    "new_and_old_customer_status = new_and_old_customer.apply(active_status,axis=1)\n",
    "new_and_old_customer_status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "cbdaf1cb",
   "metadata": {},
   "outputs": [
    {
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       "      <th>交易月份</th>\n",
       "      <th>2021-01-01</th>\n",
       "      <th>2021-02-01</th>\n",
       "      <th>2021-03-01</th>\n",
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       "      <th>2021-11-01</th>\n",
       "      <th>2021-12-01</th>\n",
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       "  <tbody>\n",
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       "      <th>active</th>\n",
       "      <td>NaN</td>\n",
       "      <td>169.0</td>\n",
       "      <td>147</td>\n",
       "      <td>217</td>\n",
       "      <td>337</td>\n",
       "      <td>551</td>\n",
       "      <td>569</td>\n",
       "      <td>523</td>\n",
       "      <td>483</td>\n",
       "      <td>440</td>\n",
       "      <td>545</td>\n",
       "      <td>578.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>new</th>\n",
       "      <td>6573.0</td>\n",
       "      <td>4794.0</td>\n",
       "      <td>5519</td>\n",
       "      <td>5981</td>\n",
       "      <td>8271</td>\n",
       "      <td>8714</td>\n",
       "      <td>7306</td>\n",
       "      <td>6819</td>\n",
       "      <td>6381</td>\n",
       "      <td>5798</td>\n",
       "      <td>6846</td>\n",
       "      <td>6346.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>old</th>\n",
       "      <td>NaN</td>\n",
       "      <td>6404.0</td>\n",
       "      <td>11020</td>\n",
       "      <td>16325</td>\n",
       "      <td>21718</td>\n",
       "      <td>29395</td>\n",
       "      <td>37750</td>\n",
       "      <td>44671</td>\n",
       "      <td>51186</td>\n",
       "      <td>57379</td>\n",
       "      <td>62188</td>\n",
       "      <td>68839.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>potential</th>\n",
       "      <td>72775.0</td>\n",
       "      <td>67981.0</td>\n",
       "      <td>62462</td>\n",
       "      <td>56481</td>\n",
       "      <td>48210</td>\n",
       "      <td>39496</td>\n",
       "      <td>32190</td>\n",
       "      <td>25371</td>\n",
       "      <td>18990</td>\n",
       "      <td>13192</td>\n",
       "      <td>6346</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>return</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200</td>\n",
       "      <td>344</td>\n",
       "      <td>812</td>\n",
       "      <td>1192</td>\n",
       "      <td>1533</td>\n",
       "      <td>1964</td>\n",
       "      <td>2308</td>\n",
       "      <td>2539</td>\n",
       "      <td>3423</td>\n",
       "      <td>3585.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "交易月份       2021-01-01  2021-02-01  2021-03-01  2021-04-01  2021-05-01  \\\n",
       "active            NaN       169.0         147         217         337   \n",
       "new            6573.0      4794.0        5519        5981        8271   \n",
       "old               NaN      6404.0       11020       16325       21718   \n",
       "potential     72775.0     67981.0       62462       56481       48210   \n",
       "return            NaN         NaN         200         344         812   \n",
       "\n",
       "交易月份       2021-06-01  2021-07-01  2021-08-01  2021-09-01  2021-10-01  \\\n",
       "active            551         569         523         483         440   \n",
       "new              8714        7306        6819        6381        5798   \n",
       "old             29395       37750       44671       51186       57379   \n",
       "potential       39496       32190       25371       18990       13192   \n",
       "return           1192        1533        1964        2308        2539   \n",
       "\n",
       "交易月份       2021-11-01  2021-12-01  \n",
       "active            545       578.0  \n",
       "new              6846      6346.0  \n",
       "old             62188     68839.0  \n",
       "potential        6346         NaN  \n",
       "return           3423      3585.0  "
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_and_old_customer_status.apply(lambda x:pd.value_counts(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "9fe205af",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>active</th>\n",
       "      <th>new</th>\n",
       "      <th>old</th>\n",
       "      <th>return</th>\n",
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       "    <tr>\n",
       "      <th>交易月份</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6573.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-01</th>\n",
       "      <td>169.0</td>\n",
       "      <td>4794.0</td>\n",
       "      <td>6404.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-01</th>\n",
       "      <td>147.0</td>\n",
       "      <td>5519.0</td>\n",
       "      <td>11020.0</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-01</th>\n",
       "      <td>217.0</td>\n",
       "      <td>5981.0</td>\n",
       "      <td>16325.0</td>\n",
       "      <td>344.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-01</th>\n",
       "      <td>337.0</td>\n",
       "      <td>8271.0</td>\n",
       "      <td>21718.0</td>\n",
       "      <td>812.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-01</th>\n",
       "      <td>551.0</td>\n",
       "      <td>8714.0</td>\n",
       "      <td>29395.0</td>\n",
       "      <td>1192.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-01</th>\n",
       "      <td>569.0</td>\n",
       "      <td>7306.0</td>\n",
       "      <td>37750.0</td>\n",
       "      <td>1533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-01</th>\n",
       "      <td>523.0</td>\n",
       "      <td>6819.0</td>\n",
       "      <td>44671.0</td>\n",
       "      <td>1964.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-01</th>\n",
       "      <td>483.0</td>\n",
       "      <td>6381.0</td>\n",
       "      <td>51186.0</td>\n",
       "      <td>2308.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01</th>\n",
       "      <td>440.0</td>\n",
       "      <td>5798.0</td>\n",
       "      <td>57379.0</td>\n",
       "      <td>2539.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-01</th>\n",
       "      <td>545.0</td>\n",
       "      <td>6846.0</td>\n",
       "      <td>62188.0</td>\n",
       "      <td>3423.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>578.0</td>\n",
       "      <td>6346.0</td>\n",
       "      <td>68839.0</td>\n",
       "      <td>3585.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            active     new      old  return\n",
       "交易月份                                       \n",
       "2021-01-01     0.0  6573.0      0.0     0.0\n",
       "2021-02-01   169.0  4794.0   6404.0     0.0\n",
       "2021-03-01   147.0  5519.0  11020.0   200.0\n",
       "2021-04-01   217.0  5981.0  16325.0   344.0\n",
       "2021-05-01   337.0  8271.0  21718.0   812.0\n",
       "2021-06-01   551.0  8714.0  29395.0  1192.0\n",
       "2021-07-01   569.0  7306.0  37750.0  1533.0\n",
       "2021-08-01   523.0  6819.0  44671.0  1964.0\n",
       "2021-09-01   483.0  6381.0  51186.0  2308.0\n",
       "2021-10-01   440.0  5798.0  57379.0  2539.0\n",
       "2021-11-01   545.0  6846.0  62188.0  3423.0\n",
       "2021-12-01   578.0  6346.0  68839.0  3585.0"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#去除掉潜在客户类别，这个没有统计意义\n",
    "new_and_old_customer_status = new_and_old_customer_status.apply(lambda x:pd.value_counts(x)).drop(\"potential\",axis=0).fillna(0).T\n",
    "new_and_old_customer_status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "ad042478",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_and_old_customer_status.reset_index().plot.area(x=\"交易月份\", y=[\"active\",\"new\",\"return\",\"old\"],label=['活跃客户', '新客',\"回流客户\",\"老客\"])\n",
    "plt.xlabel(\"交易月份\")\n",
    "plt.ylabel(\"用户人数\")\n",
    "plt.title(\"各类型客户数量统计\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad19b126",
   "metadata": {},
   "source": [
    "消费构成主要由新客、活跃客户、回流客户三者所构成。\n",
    "\n",
    "可以看到从1-12月来，新客都是消费的主力，前5个月的新客消费占比较多，到前6个月，新客都展现出增长的态势，7月后则逐渐回落，一直到9月后，新客的消费趋于稳定。\n",
    "\n",
    "6月开始，回流客户（即复购的老客）开始发力，持续到12月份，逐渐成为消费群体中的第二主力。\n",
    "\n",
    "活跃客户则一直较少，但在一直有所增加。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "9fabdc34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x16eb4e5dee0>"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#比较回流客户和活跃客户\n",
    "plt.figure(figsize=(8,4))\n",
    "rate = new_and_old_customer_status.apply(lambda x:x/x.sum(),axis=1)\n",
    "plt.plot(rate[\"return\"],label=\"回流客户\")\n",
    "plt.plot(rate[\"active\"],label=\"活跃客户\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a493b796",
   "metadata": {},
   "source": [
    "回流客户持续上涨，一方面是由于老客户的增多，另一方面回流活动可能做的比较好\n",
    "\n",
    "活跃客户前2个月涨势较为厉害，可能这段时间的活动持续性做的较好，后续3至12月则开始回落"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b45aa1a",
   "metadata": {},
   "source": [
    "## 4.4 客户留存分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e02adfb0",
   "metadata": {},
   "source": [
    "将客户多次发生付款行为发生的时间段距其第一次付款的时间进行划分，这些在统计时间段内存在付款行为的客户为留存客户"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8dc09855",
   "metadata": {},
   "source": [
    "### 4.4.1 留存客户活跃天数分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "18810baa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>用户名</th>\n",
       "      <th>付款金额</th>\n",
       "      <th>订单日期</th>\n",
       "      <th>最早购买日期</th>\n",
       "      <th>第n天活跃</th>\n",
       "      <th>活跃天数区间</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>user-104863</td>\n",
       "      <td>480.420000</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>user-104863</td>\n",
       "      <td>1213.400000</td>\n",
       "      <td>2021-05-02</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>121</td>\n",
       "      <td>(90.0, 180.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>user-104863</td>\n",
       "      <td>3159.350000</td>\n",
       "      <td>2021-02-19</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>49</td>\n",
       "      <td>(30.0, 60.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>user-181957</td>\n",
       "      <td>279.530000</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>user-282453</td>\n",
       "      <td>1653.910000</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104538</th>\n",
       "      <td>user-261111</td>\n",
       "      <td>2223.820000</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104539</th>\n",
       "      <td>user-153117</td>\n",
       "      <td>1273.060000</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104540</th>\n",
       "      <td>user-141198</td>\n",
       "      <td>2831.172018</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104541</th>\n",
       "      <td>user-291340</td>\n",
       "      <td>1407.600000</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104542</th>\n",
       "      <td>user-235227</td>\n",
       "      <td>256.740000</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>104543 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                用户名         付款金额       订单日期     最早购买日期  第n天活跃         活跃天数区间\n",
       "0       user-104863   480.420000 2021-01-01 2021-01-01      0            NaN\n",
       "1       user-104863  1213.400000 2021-05-02 2021-01-01    121  (90.0, 180.0]\n",
       "2       user-104863  3159.350000 2021-02-19 2021-01-01     49   (30.0, 60.0]\n",
       "3       user-181957   279.530000 2021-01-01 2021-01-01      0            NaN\n",
       "4       user-282453  1653.910000 2021-01-01 2021-01-01      0            NaN\n",
       "...             ...          ...        ...        ...    ...            ...\n",
       "104538  user-261111  2223.820000 2021-01-01 2021-01-01      0            NaN\n",
       "104539  user-153117  1273.060000 2021-01-01 2021-01-01      0            NaN\n",
       "104540  user-141198  2831.172018 2021-01-01 2021-01-01      0            NaN\n",
       "104541  user-291340  1407.600000 2021-01-01 2021-01-01      0            NaN\n",
       "104542  user-235227   256.740000 2021-01-01 2021-01-01      0            NaN\n",
       "\n",
       "[104543 rows x 6 columns]"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_first_order = order_data_cleaned.groupby(\"用户名\")[\"订单日期\"].min().reset_index().rename(columns={\"订单日期\":\"最早购买日期\"})\n",
    "customer_order = pd.merge(order_data_cleaned,customer_first_order,how=\"inner\",on=\"用户名\")[[\"用户名\",\"付款金额\",\"订单日期\",\"最早购买日期\"]]\n",
    "customer_order[\"第n天活跃\"] = (customer_order[\"订单日期\"]-customer_order[\"最早购买日期\"]).apply(lambda x:x.days)\n",
    "bins=[0,3,7,15,30,60,90,180,365]#对活跃天数分箱\n",
    "customer_order[\"活跃天数区间\"] = pd.cut(customer_order[\"第n天活跃\"],bins=bins)\n",
    "customer_order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "014fe5c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>活跃天数区间</th>\n",
       "      <th>(0, 3]</th>\n",
       "      <th>(3, 7]</th>\n",
       "      <th>(7, 15]</th>\n",
       "      <th>(15, 30]</th>\n",
       "      <th>(30, 60]</th>\n",
       "      <th>(60, 90]</th>\n",
       "      <th>(90, 180]</th>\n",
       "      <th>(180, 365]</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>用户名</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>user-100000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100003</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100006</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>443.55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100007</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100008</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299980</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>389.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299983</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299989</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>527.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299992</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299995</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79348 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "活跃天数区间       (0, 3]  (3, 7]  (7, 15]  (15, 30]  (30, 60]  (60, 90]  (90, 180]  \\\n",
       "用户名                                                                             \n",
       "user-100000     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "user-100003     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "user-100006     NaN     NaN   443.55       NaN       NaN       NaN        NaN   \n",
       "user-100007     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "user-100008     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "...             ...     ...      ...       ...       ...       ...        ...   \n",
       "user-299980     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "user-299983     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "user-299989     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "user-299992     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "user-299995     NaN     NaN      NaN       NaN       NaN       NaN        NaN   \n",
       "\n",
       "活跃天数区间       (180, 365]  \n",
       "用户名                      \n",
       "user-100000         NaN  \n",
       "user-100003         NaN  \n",
       "user-100006         NaN  \n",
       "user-100007         NaN  \n",
       "user-100008         NaN  \n",
       "...                 ...  \n",
       "user-299980      389.44  \n",
       "user-299983         NaN  \n",
       "user-299989      527.28  \n",
       "user-299992         NaN  \n",
       "user-299995         NaN  \n",
       "\n",
       "[79348 rows x 8 columns]"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_order_pivot = customer_order.pivot_table(index=\"用户名\", columns=\"活跃天数区间\",values=\"付款金额\",aggfunc=sum,dropna=False).replace(0, np.nan)\n",
    "customer_order_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "b83843d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "活跃天数区间\n",
       "(0, 3]        0.005318\n",
       "(3, 7]        0.006251\n",
       "(7, 15]       0.012930\n",
       "(15, 30]      0.022836\n",
       "(30, 60]      0.041198\n",
       "(60, 90]      0.039598\n",
       "(90, 180]     0.097633\n",
       "(180, 365]    0.070525\n",
       "dtype: float64"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_order_pivot.count()/len(customer_order_pivot)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01e6e75c",
   "metadata": {},
   "source": [
    "可以看到，我们的总体留存率较低，且大多数的留存客户喜欢在90-180和180-365这个时间段内再次消费，说明我们店内的产品并不属于客户高频购买的产品类型。这从运营角度看，在促活新用户的时，更要注重培养老用户的忠诚度。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8acb2efa",
   "metadata": {},
   "source": [
    "### 4.4.2 留存客户客单价分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "5d4ea426",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "活跃天数区间\n",
       "(0, 3]        1295.350537\n",
       "(3, 7]        1252.517830\n",
       "(7, 15]       1132.070809\n",
       "(15, 30]      1240.656265\n",
       "(30, 60]      1237.660823\n",
       "(60, 90]      1218.704246\n",
       "(90, 180]     1238.299346\n",
       "(180, 365]    1269.935267\n",
       "dtype: float64"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_order_pivot.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9d9663a",
   "metadata": {},
   "source": [
    "可以看到，对不同留存时间段的客户的消费金额做平均，得到消费的客单价，可以发现活跃天数间隔在0-3和3-7天客户的客单是较高的，用户越活跃，他们更乐意消费。因此可以在新客发生首次购买后的7天内，多采用一些促活手段，形成针对我们品牌的认可，保持长期活跃。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9284cc55",
   "metadata": {},
   "source": [
    "## 4.5 复购率分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b649eb08",
   "metadata": {},
   "source": [
    "分析每个月多次消费的客户在总客户中的占比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "9af0b6af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>复购率</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>交易月份</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>0.018409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-01</th>\n",
       "      <td>0.011485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-01</th>\n",
       "      <td>0.017218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-01</th>\n",
       "      <td>0.020483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-01</th>\n",
       "      <td>0.030892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-01</th>\n",
       "      <td>0.030697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-01</th>\n",
       "      <td>0.025510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-01</th>\n",
       "      <td>0.031593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-01</th>\n",
       "      <td>0.024858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01</th>\n",
       "      <td>0.028256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-01</th>\n",
       "      <td>0.029684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>0.031402</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 复购率\n",
       "交易月份                \n",
       "2021-01-01  0.018409\n",
       "2021-02-01  0.011485\n",
       "2021-03-01  0.017218\n",
       "2021-04-01  0.020483\n",
       "2021-05-01  0.030892\n",
       "2021-06-01  0.030697\n",
       "2021-07-01  0.025510\n",
       "2021-08-01  0.031593\n",
       "2021-09-01  0.024858\n",
       "2021-10-01  0.028256\n",
       "2021-11-01  0.029684\n",
       "2021-12-01  0.031402"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month_buy_rate = pd.DataFrame(((customer_pivot > 1).sum() / (customer_pivot >= 1).sum()), columns=[\"复购率\"])\n",
    "month_buy_rate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58da7be2",
   "metadata": {},
   "source": [
    "根据复购率的结果显示，前3个月的复购率不佳，后续月份回升并稳定在2.5%-3%左右。说明前3个月的客户主要由新客组成。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5b52d5e",
   "metadata": {},
   "source": [
    "## 4.6 回购率分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31c8001e",
   "metadata": {},
   "source": [
    "分析本月消费后，下个月也存在消费行为的客户在所有客户中的比例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "17585ee1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>交易月份</th>\n",
       "      <th>2021-01-01</th>\n",
       "      <th>2021-02-01</th>\n",
       "      <th>2021-03-01</th>\n",
       "      <th>2021-04-01</th>\n",
       "      <th>2021-05-01</th>\n",
       "      <th>2021-06-01</th>\n",
       "      <th>2021-07-01</th>\n",
       "      <th>2021-08-01</th>\n",
       "      <th>2021-09-01</th>\n",
       "      <th>2021-10-01</th>\n",
       "      <th>2021-11-01</th>\n",
       "      <th>2021-12-01</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>用户名</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>user-100000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100003</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100006</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100007</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-100008</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299980</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299983</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299989</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299992</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user-299995</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79348 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "交易月份         2021-01-01  2021-02-01  2021-03-01  2021-04-01  2021-05-01  \\\n",
       "用户名                                                                       \n",
       "user-100000         NaN         NaN         NaN         NaN         NaN   \n",
       "user-100003         NaN         NaN         NaN         NaN         0.0   \n",
       "user-100006         NaN         NaN         NaN         NaN         NaN   \n",
       "user-100007         0.0         NaN         NaN         NaN         NaN   \n",
       "user-100008         NaN         NaN         NaN         NaN         NaN   \n",
       "...                 ...         ...         ...         ...         ...   \n",
       "user-299980         0.0         NaN         NaN         NaN         NaN   \n",
       "user-299983         NaN         NaN         NaN         NaN         NaN   \n",
       "user-299989         NaN         NaN         NaN         0.0         NaN   \n",
       "user-299992         0.0         NaN         NaN         NaN         NaN   \n",
       "user-299995         NaN         NaN         0.0         NaN         NaN   \n",
       "\n",
       "交易月份         2021-06-01  2021-07-01  2021-08-01  2021-09-01  2021-10-01  \\\n",
       "用户名                                                                       \n",
       "user-100000         NaN         NaN         NaN         NaN         0.0   \n",
       "user-100003         NaN         NaN         NaN         NaN         NaN   \n",
       "user-100006         NaN         NaN         NaN         NaN         1.0   \n",
       "user-100007         NaN         NaN         NaN         NaN         NaN   \n",
       "user-100008         NaN         NaN         NaN         NaN         NaN   \n",
       "...                 ...         ...         ...         ...         ...   \n",
       "user-299980         NaN         NaN         NaN         NaN         0.0   \n",
       "user-299983         NaN         NaN         NaN         NaN         NaN   \n",
       "user-299989         NaN         NaN         NaN         NaN         NaN   \n",
       "user-299992         NaN         NaN         NaN         NaN         NaN   \n",
       "user-299995         NaN         NaN         NaN         NaN         NaN   \n",
       "\n",
       "交易月份         2021-11-01  2021-12-01  \n",
       "用户名                                  \n",
       "user-100000         NaN         NaN  \n",
       "user-100003         NaN         NaN  \n",
       "user-100006         0.0         NaN  \n",
       "user-100007         NaN         NaN  \n",
       "user-100008         0.0         NaN  \n",
       "...                 ...         ...  \n",
       "user-299980         NaN         NaN  \n",
       "user-299983         NaN         NaN  \n",
       "user-299989         0.0         NaN  \n",
       "user-299992         NaN         NaN  \n",
       "user-299995         NaN         NaN  \n",
       "\n",
       "[79348 rows x 12 columns]"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def func_buy_again(data):\n",
    "    status = []\n",
    "    for i in range(data.count()-1):# 判断前11个月\n",
    "        if data[i] > 0:# 本月有消费\n",
    "            if data[i+1] > 0:# 下个月也消费，则为回购，即为1\n",
    "                status.append(1)\n",
    "            else:# 下个月不消费，不回购，记为0\n",
    "                status.append(0)\n",
    "        else:\n",
    "            status.append(np.nan)# 本月无消费，赋予为NaN，count不统计\n",
    "    status.append(np.nan)# 最后一个月补充为NaN，因为没有下一月数据，无法判断是否回购\n",
    "    return pd.Series(status,index=data.index)\n",
    "re_buy = customer_pivot.apply(func_buy_again,axis=1)\n",
    "re_buy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "bc12f1d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>回购率</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>交易月份</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>0.025711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-01</th>\n",
       "      <td>0.029619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-01</th>\n",
       "      <td>0.036993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-01</th>\n",
       "      <td>0.051513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-01</th>\n",
       "      <td>0.058493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-01</th>\n",
       "      <td>0.054413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-01</th>\n",
       "      <td>0.055591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-01</th>\n",
       "      <td>0.051902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-01</th>\n",
       "      <td>0.047972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01</th>\n",
       "      <td>0.062094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-01</th>\n",
       "      <td>0.053449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 回购率\n",
       "交易月份                \n",
       "2021-01-01  0.025711\n",
       "2021-02-01  0.029619\n",
       "2021-03-01  0.036993\n",
       "2021-04-01  0.051513\n",
       "2021-05-01  0.058493\n",
       "2021-06-01  0.054413\n",
       "2021-07-01  0.055591\n",
       "2021-08-01  0.051902\n",
       "2021-09-01  0.047972\n",
       "2021-10-01  0.062094\n",
       "2021-11-01  0.053449\n",
       "2021-12-01       NaN"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "re_buy_rate = pd.DataFrame(re_buy.sum()/re_buy.count(),columns=['回购率'])\n",
    "re_buy_rate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91d23459",
   "metadata": {},
   "source": [
    "可以得知前3个月回购率较差，说明前3个月涌入的新客大部分只做了一次消费，这可能是由于这批新客并不符合我们的用户画像所导致的。后续的回购率回升，但波动较大。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a70b0f85",
   "metadata": {},
   "source": [
    "# 5.结论"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbb23d41",
   "metadata": {},
   "source": [
    "总结以上分析：\n",
    "1. 我们的客户群体的消费多集中于0-3000部分，每次营销活动可以控制主推的商品或者套装价格位于这个价格区间内。\n",
    "2. 我们的商品存在明显的销售淡旺季，1-3月是淡季，4-12月是旺季，尤其是5-7月和11-12月是销售的高峰，需要针对以上时间做出运营策略的调整和仓储准备\n",
    "3. 新客涌入有两个高峰一个是1月，一个是6月，可以在这两个月加大拉新力度，在其他月份则可以适当把预算分配给客户留存\n",
    "4. 12月份的退货情况无论是在件数上，还是在金额上都有所增加，这需要引起警惕\n",
    "5. 渠道13，渠道15，渠道9和渠道11四个渠道的销售效果较好，可以加大这些渠道的建设\n",
    "6. 优化APP端的购物体验，激发它的对应消费群体的潜能，促进该平台上用户的转化，拉高该平台的客单价。同时可以减少微信小商店和wap网站的投入。\n",
    "7. APP和公众号在1-4月的发力较为疲软，可以针对性的在1-4月多推出一些日销活动，促进该段时间内的转化提升\n",
    "8. 共有93件热销商品，可以将它们与其他商品一起设置为套装，用这些产品的热度来带动其他产品的销量\n",
    "9. 共有32款产品需要预警，有必要对高退货的产品进行现有运营策略的调整，若非运营问题则可考虑推广方式是否有误，或者当前产品是否存在质量不佳、货不对板的情况，同时减少囤货\n",
    "10. 将客户进行分层后针对不同客户采取不同策略：\n",
    "    - 重要价值客户，RFM三个值都很高，可以提供VIP服务，可以开设一些专属购买渠道\n",
    "\n",
    "    - 重要发展客户，消费频率低，但是其他两个值很高，要想办法提高他的消费频率，可以采用积分手段来激励他们的消费\n",
    "\n",
    "    - 重要保持客户，最近消费时间距离现在较远，也就是R值低，但是消费频率和消费金额高。这种用户，是一段时间没来的忠实客户。可以采用短信或者是类似于千牛的专属客服等手段进行用户触达，提高复购率\n",
    "\n",
    "    - 重要挽留客户，最近消费时间距离现在较远，消费频率低，但消费金额高。这种用户即将流失，可以主动联系用户，了解他们的评价和感受，调查清楚哪里出了问题，并想办法挽回\n",
    "\n",
    "    - 一般客户可以采用等级制，激励他们消费\n",
    "11. 3-12月间可以考虑做一些活动持续时间较长的活动\n",
    "12. 运营在促活新用户的时，更要注重培养老用户的忠诚度\n",
    "13. 可以在新客发生首次购买后的7天内，多采用一些促活手段，形成针对我们品牌的认可，保持长期活跃\n",
    "14. 拉新时要注意匹配用户画像，来提高回购率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc778652",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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